{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--NAVIGATION-->\n",
    "< [使用Basemap创建地理位置图表](04.13-Geographic-Data-With-Basemap.ipynb) | [目录](Index.ipynb) | [更多资源](04.15-Further-Resources.ipynb) >\n",
    "\n",
    "<a href=\"https://colab.research.google.com/github/wangyingsm/Python-Data-Science-Handbook/blob/master/notebooks/04.14-Visualization-With-Seaborn.ipynb\"><img align=\"left\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\" title=\"Open and Execute in Google Colaboratory\"></a>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization with Seaborn\n",
    "\n",
    "# 使用Seaborn进行可视化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Matplotlib has proven to be an incredibly useful and popular visualization tool, but even avid users will admit it often leaves much to be desired.\n",
    "There are several valid complaints about Matplotlib that often come up:\n",
    "\n",
    "Matplotlib已经证明了自己是一个异常有用和流行的可视化工具，但即使是狂热的用户也承认它有很多不足的地方。下面是一些经常被提出来关于Matplotlib的吐槽：\n",
    "\n",
    "> - Prior to version 2.0, Matplotlib's defaults are not exactly the best choices. It was based off of MATLAB circa 1999, and this often shows.\n",
    "> - Matplotlib's API is relatively low level. Doing sophisticated statistical visualization is possible, but often requires a *lot* of boilerplate code.\n",
    "> - Matplotlib predated Pandas by more than a decade, and thus is not designed for use with Pandas ``DataFrame``s. In order to visualize data from a Pandas ``DataFrame``, you must extract each ``Series`` and often concatenate them together into the right format. It would be nicer to have a plotting library that can intelligently use the ``DataFrame`` labels in a plot.\n",
    "\n",
    "- 在2.0版之前，Matplotlib默认值不总是最好的选择。因为它是基于MATLAB circa 1999的，这一点经常会被吐槽。\n",
    "- Matplotlib的API相对来说比较底层，当然可以用来创建复杂的统计图表，但是经常需要撸*很多*冗长的代码。\n",
    "- Matplotlib比Pandas开发早了超过10年，然而却还不支持直接使用Pandas的`DataFrame`。为了将Pandas的`DataFrame`可视化，你必须将每个`Series`提取出来并组合成合适的格式。如果能够提供直接使用`DataFrame`的标签进行图表可视化的工具会方便的多。\n",
    "\n",
    "> An answer to these problems is [Seaborn](http://seaborn.pydata.org/). Seaborn provides an API on top of Matplotlib that offers sane choices for plot style and color defaults, defines simple high-level functions for common statistical plot types, and integrates with the functionality provided by Pandas ``DataFrame``s.\n",
    "\n",
    "上述问题可以通过[Seaborn](http://seaborn.pydata.org/)得到解答。Seaborn在Matplotlib之上提供了一套API，包括合理的默认样式和颜色，为通用统计报表设计的简单的高层函数和对Pandas的`DataFrame`的集成。\n",
    "\n",
    "> To be fair, the Matplotlib team is addressing this: it has recently added the ``plt.style`` tools discussed in [Customizing Matplotlib: Configurations and Style Sheets](04.11-Settings-and-Stylesheets.ipynb), and is starting to handle Pandas data more seamlessly.\n",
    "The 2.0 release of the library will include a new default stylesheet that will improve on the current status quo.\n",
    "But for all the reasons just discussed, Seaborn remains an extremely useful addon.\n",
    "\n",
    "公平的说，Matplotlib团队也在改进这些问题：近期的版本增加了`plt.style`工具（参见[自定义matplotlib：配置和样式单](04.11-Settings-and-Stylesheets.ipynb)），开始让Matplotlib更加无缝地对接Pandas的数据。2.0版本会使用新的默认样式单用来改进目前的样式问题。但是对于我们刚才讨论的问题来说，Seaborn依然是一个很有用的扩展。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Seaborn Versus Matplotlib\n",
    "\n",
    "## Seaborn 对比 Matplotlib\n",
    "\n",
    "> Here is an example of a simple random-walk plot in Matplotlib, using its classic plot formatting and colors.\n",
    "We start with the typical imports:\n",
    "\n",
    "下面的例子是一个简单的随机趋势数据的例子，在Matplotlib使用经典的图表样式和颜色绘制。先进行标准导入："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('classic')\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Now we create some random walk data:\n",
    "\n",
    "然后创建随机趋势的数据："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 创建一些随机数据\n",
    "rng = np.random.RandomState(0)\n",
    "x = np.linspace(0, 10, 500)\n",
    "y = np.cumsum(rng.randn(500, 6), 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> And do a simple plot:\n",
    "\n",
    "绘制简单折线图："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GURRFQRC6Ndo++uij7e+zs7PJzs4OlFgyMqc0e63W9nqnO1pa+EUfKyi9WVPD0JAQpvbQH/2lqirKXS4m6PXstFo5OzKyT/36wyeKLC0p4fEhQ3q9LlHhdBIbHIxmEJUNPFmsX7+e9evX968RURT7/QKCgLXAvR22HQAS2t4nAAe6OVf0R3fbBxPvvvuuOHnyZFGn04nx8fHiOeecI27cuHGgxTqppKWliRqNRtTpdO2vqqqqY55zKny3g4WXKirE3xQUiG9WV4uGDRvE6/PzRZ/P1+t2xmzdKp6zZ0+Pj5++fbu4oblZvL+oSLyhj312R5HdLrJunbjTYum03efziasaGkSfzyf6fD7R7fV2OfezhgZxwe7dAZPlVKbt/6hXurrfJh1BGsq/AeSLovh8h12rgWvb3l8LrOpvX4OJ559/nrvvvpuHH36Yuro6ysvLue2221i16md1mT3i6BKHiYmJAy3SzwJRFNloNpOl13N9QgK7pkzhJ7OZdSZTr9q5LDeXXLudfVZrj473iiL7bTbG6/Xcn5LCj2Zzp0Rk/SXPZgOk2rKVbX70AP+uqeGi/fupcbv5uKGBC/bt63LudybTaZ3euL8EwoY/C7gamC8Iwu6213nAX4GFgiAcBBa0ff5ZYDabWbp0KcuWLeOSSy5Bp9MRFBTEokWLePbZZwdaPJlTCJ8ostpo9Lvvn9XV5NntXNwWKTokJIRF0dFs7YUt3u3z8UFDAwAWr5c6t/u4LrFrGhuJDQ7GoFIRFxzMDQkJrOxGxr6Qa7Mx22Dgr+XlpGzZwlaLBZvXy7KqKkBaLP5PbS0bzGZcPh9unw9vm8zfNDV1KSQu03P6bcMXRXET0J0h7sz+tj8Y2bx5M06nk4svvnigRZE5hThgt2PyeJjewY6eZ7Nx0f79fDluHOdERbVvd/l8PFdRwTujRnXK8DhKq+WHXozwK10uAH4VE4NKEBiXk8P9KSk8kJrq9/hVRiO/PXCAj9uiVQEuio7mzN27eXnEiH7HAnzR2MhDJSW8MXIk50VG8onRyNxduwgSBNQKBdfHx3N5Xh5RQUFEBwVxyf79RAYFMVmv54KoKIytrUwODe2XDKczp3akbSACUfoQANTY2Eh0dHSnsn4Dyfr1/b8P2dn9L/UotZPNypUr+y3Pz5F36+rIs9n4qIMy3d1mZlleV9eu8I1uNzceOMBEvZ4zDIZObWRqtbxaXd3jPkudTuYZDPxvzBg2mkxstVh4p66OBRERpKjVxHSIRK10OnmitJQ3MjOZ1aHfkVoteqWSHS0tPV707Y6ny8t5PD2dJTEx6FUqbktK4tbERNY2NbHDakUtCAQpFBTPmMHapiZ+mZtLsCBQ7HDg8Pm4JCZmUBcJH+wMDo3VVwYoWjMqKgqj0YjH4xkUSr8/yjoQyCUOe0ap08kWi4UnS0v5Y1oagiCwy2plcXQ0B+329uP+UVVFkCCw3E8xnUytllybjc8bG7F7vVwaE0NHj7ix27ZxT0oKNyYkAFDmdLaX+ZsTHk7h9OmM2baNyTt28MfUVJ7sUBAkZcsWAM72YzJZHB3Nhw0N/VL4lU4nuTYb32ZldSoiLggC50RFcU5UFJtMJq6Oi0OnVHJJTAx3JCXxZk0NBXY7pU4nH52G9SYCiZwtsw+cccYZqNVqeSQr0yvKnE6q3G7+XFrKl01NlDocfGI0cnVcHIUOR7ttfbXRyF3Jyej8uB5GBgXxjxEjWJKby5K8PAodjvZ9u1tayLXbyW1bFAXpIZPeoa6rUhAomD6d90aN4kDbuWaPhzq3m3CViuZZs1D5KQF4Y0IC/6mtxdGPyNtvm5s5MyKik7I/mtnh4bw+cmT75/nh4UwLC+P/hg4lSa1mhpzmuF/ICr8PGAwGHn/8cW6//XZWrlyJ3W6ntbWVL7/8kgceeGCgxZMZpJQ6ncwMC+Pu5GQeLS3l4ZISroiN5ZKYGIIEgfrWVvJsNmrdbs44hmK7MSGB10eOJEunY2MHe/6HDQ0kq9XUdgiUKrDbGeEnSGmUVkuB3Y7V4yF9yxbeqKkhS6cjPCjIb58jtFrG6nR82w9vna+amljQywXXxdHRfDZ2LL9NTOSniRM7zWZOJqIo0rKrZUD6DiSywu8j9913H88//zxPPvkkMTExpKSk8PLLL7N4sZxBQqYrHp+PWrebdRMm8NywYYhINVcPL56O1GpZWlLCktxcbk9K8jvK7siVcXHclpTE+g4K/7PGRu5MSqK0g6vjFovFb/GPDK2WIoeDd+vrsXg8/LGkhPEdskz6Y354OD+YTOTZbO1eM4cRRRHfMUys1S4XXzc388uYmGP2cTSCIKBvM5se756cSMwbzeyYtIP6j+p7fE7de3U0ft54/ANPInKJQ5mTzun43V6bn0+B3c7WyZMB6QHQKoqEtJltciwWXqis5KLoaC6MiupRJGmty8WonBzKZ8xgl9XK9QUFrJswgek7d1Izcya1Lhejc3JonDXL78h49LZtNLa2cndyMg+XlLBnypRjKv1NJhPz9+yhVRT53+jR/KpD8rJ/VlWxzmTif2029g0mE+/U1fGP4cPRKJU8XFxMi9fbXnf2VCPvqjych5yoU9SM+Z//dYSmb5poWtuEs9TJ8OeGs2XoFkKGhTC9cPoJkakv2TIHfsVRRuZnjtXj4ROjkdqZM9u3qRSKTv98U8PCeHf06F61G69WMz88nPfq69lgMnFfSgrJajUmjweH18vWlhamh4V1awZ5LD2dP5eU8IfUVB7qQZrhmQYDa8eP54Ddzgf19Z0U/ueNjXzV1MR2i4UpYWGsNBr5V00NBpWKR9PT+VdNDVsmTerV9Q0WRJ9I01dNjHhpBFUvV3V7XO2btTR81IDoEdGO1BJ9UTSWzRYcxQ5Chg6O3D+ySUdG5gSzwWxmSmio30XY/vKbxERer65me0sLcw0GFIJAqlrd7hE0/Rg+67+KjWXf1Kk99q1XCAK/iIjg17Gx/GA2t0fuenw+NpnN3JSQwIdtQV5FDgevZmTwz6oqXqmqYp7BcMpmt7TttxEUEUTYtDDc1W6s+61dZqjuBjeNXzai1EvfceXzlYRnhxP+i3DMG80DIbZfZIUvI3OCWV5by4UdgqoCycKICBpbW6lwuchsq+U6RKOhxOlkq8XSKcjLH8fymOmOiKAg7k9J4R9tkbGbLRbSNRpuTkxkVVtEbq7NRnZ4OGN0Oh4pLeV3ycm97mew0Ph5IxELIghODMZZ5mT7uO3sW7QPr0PyWHLVuth/0X4Sf5NI/PXx6Mbr8Dl9xPwqBs0QDc4y53F6OHnICl9G5gSyuS33zU1tfvGBRiEI3JyYyDidrn1RM12j4YDdzvaWFr8LtoFgnsHAzhbJa2WV0chF0dFM1OupcrspcTiodrsZptEwy2AgJiiI2UcFkJ0qiF6RmtdriL8xHmWIElWEishzI/HZfDR8JM1mGv7XQHBCMEP+bwjDnx9OxisZxF8XjzpBjSZVg6vCNcBXcQTZhi8jc4IQRZEbDhzgtYwMQk9ggN69ycks6eD9MiQkhHfq6sjUaonqxs2yv4zX68mz2ylxOPiqqYm3MjNRCALjdTquKyjg8thYVAoFV8bFMTk09JQtz+godiD6RMKmSA9OdZKasDPCUOqVWLZYiL86Hnu+nfDscBQq6YFrmGXAMEt6wKlT1DR82jBg8h+NPMKXkTlB7LXZcHi9LG5LfnaiCFEqGdFmzgHJpLPTauXcAOawPxqtUolPFBm6dSsVLld74fAJej2bLRaWti0CTw4N5cq4U7f2keOgA23mkXsbNiOMiDMjCJsRRs2/arDusWLLt6EdpfV7vjpFjatcHuEfl7S20HOZnx9pp0nh6WfLy7kqLu6k/47PiojgzZEj+VUvfd57S8UZZ3DTgQO4fb52c9KF0dEkBAeTfoou0B7GuMpI+PxwHAcdhIw4ci0jX5eigH0uH+G/CGfPwj20NrSie1fnt53DJh1RFHv9O2htbCUoKrAztEHrh3+yeGfvO3yY9yE/lP5AwR0FxOvjB0wWmZ8PeTYbC/fsoXD69BPinTNYyLPZaGptZfbPKEd95cuVFN1ZxJiPxtC8rhlthpbk3/lfdK59pxbjSiNjPhzTrULfMnwLmW9mEj732PdI9IkICgFHsYOK5yqof6+eSdsmoR3hf/bQFz/8096ks7VyK7NTZnNR5kX8ZeNfaPW2BryPvXV7KWkuIbc+N+BtywxOtlksZIeH/6yVPcBone5npexbdrdQ9mQZMUtisBfasefZCcnofrYSf1U8Yz8ae8zRe/oj6Ry67xA+j6/bY0RR5AflDzR+2UjTV01Uv1KNx+TBlmvr9py+cNor/E0Vm5iTNoelc5eys3Ynv1nzm4D3cf/X9zP7rdnM+888bO7AfoEyg48iu51/1dQwRc7bfspR+XwlKfekELEwAssWCy07WjDM7p+HUdxVcajCVVS9XIX9gB13Q9ei8O5aaduh3x/CssVC2Blh6MbpsBfYuxzbHwKi8AVBeFMQhHpBEPZ32BYpCMI3giAcbPt7QsrUbK7YzI7qHQC8veft4yrUkuYSsl7Nori5GIvLQlFTEZMSJjEschhrr1rLR3kfYXL2roTcsXB5XGwq30R1i5TD/P397wesbZneY9lqYVf2rhOa2uHxsjJ+sljkzI6nGK2mVoyrjCTclIB2pJbG1Y1EnBmBSt+/pU5BEBj23DDK/1pOwY0FFFxX0OX3Z8u1YZhjwFnipO7tOjJeyyD5rmSav26mtTlwVodAjfD/A5xz1LYHge9EURwBfNf2OeC8tuM1/rHtH5SaSrl25bVsLN/Y7bH/2PoPrll5DXvr9rKvbh+7anYxLnYcwUqpCIQ2SMuUxCncsOoGKi2VAZFvW9U2RseM5rYpt/HQ7IfYUL4hIO2ejgRCSVtyLJh/MNP0ZVMAJPJPhcvFh6NHdyleIjO4MX5qJOLMCIKigtCNlhZhhz4z9Dhn9Qz9eD26UTosmy20GlvZv3g/Va9UIXql37Q9145urI60P6aReFsiurE69JP0mNaZKP+/8oDIAAFS+KIobgCO/g+6CFje9n45cELSSBYYC1hXso4nNzxJsDKYnTU72/fdfDNcfz34fOD2urnrq7vYXLGZy8deTq21ll21u5gYP7FTe+nh6Xxa8Cnv7H2n37L5RB851TnMSJ7BsvOXcdaws/ip4qd+t3u6sv/C/ey/dD9lfylr3+Y2dp0ed0erqRV3tRttppZ9F+5jz8I9ALTsasFdf6SdqlerqP9fz7MidkQURfZZradsoNHpguOQg7wr8/CYPRTcVMC2UduofauW8PnSekRQVBDZYjba4f4XTPtC7GWxhE4OZeLGieiz9By8/WC7yaZlVwu68TrSHk4jY1kGgiAQOjGUsSvHYt3Xs+LzPeFE2vDjRFGsaXtfCwTcGVcURfKN+VRYKsipzuGFc17gnb3vUGAs4N41S/nwQ8jNhb+9dRD1k2rSw9OxPWxjeORwaqw17KrdxYT4CZ3afPIXT3L71Nv5OP9jNpVv6rNsa4vWonxcyZ++/xOTE6QMiaNjRlNnraPZ0fec4qcrnhYPTV81YfzYSMWzFQC4691sSd+Cz+1/Mcxd78bX6kP0iRg/M/JjxI9UvlBJ8t3JRJ4TSfO3zTR908SOSTuo+FtF+3kHbz1I3q/zEH29n1HUuN0IgkBch9KBMiceT4sH4+qeF1qvfLGS+vfqqXu3joYPGvCYPZg3mtFPOHaK6P6QcHMC49aMQxGsYMjjQ4hZEoN1t5SXx/SdiYj5Xa3e+kl6rLs65+6xbLew9/y9fZLhpPjhi6IoCoLQ7X/Po48+2v4+Ozub7OzsY7ZntBu57+v7OGvoWQQrg7E9bCNEFUJVSxW3fn4rC99eSH1LIxcseJRZV/7AQ5tuhTA4a+hZqFVqEvQJ7K7dza6aXdw57c5ObSeFJXHntDtZtmwZSz5cwvrr1pMSlsKNq2/k3UvebV+Nf3//+6wvXc+rF7zqV8bP929kuGYGRc4tVO+cyB4FZGUpSQtPo9xcTkTICVnS+Nli3mAmbGYY0RdHU/O6NI6w7bfhs/mw59vRZ3X+R7UV2Ng1cxfBCcGoDCqcJU5iL4ul/v16NOkaxn02jp9if6Lg2ur6WRMAACAASURBVAISb0/EtF5atxF9IsowJQqNgpbtLYRN650dfp/NxjidTo4hOck0fdFE0d1FRC2KOu6997l91L1bR8jIEEofLWXoM0MJigoi79d56MefOIUvKASCY48MBPRZeqy7rYROCQUFnfz9D6NOVoMP3DVuNhduZv369dQur8VZ2rf8PCdS4dcJgpAgimKNIAgJQLdz5I4Kvyf8VPETK/as4Kuir5gQPwFtkJbXX4fg4GS23LiFGW/MAGD2xXm8WHY9rboa3py2i+vPlUbzCaEJrDywkoNNBxkbO7ZL+xlRGWy9aSsf533M9H9P55bJt/Df/f/l2YXPsql8E/nGfFYfWI02qPvp3tr9OTR98TDP/l8Nvz9zLAeuhBUrICk0iaqWKrLis3p1zac7DZ80ELUoioQbEyh5uARRFNtd1qy7rV0UfuOaRiIWRuCqcOFt8RJ3VRzRl0RT/3496hQ1giDgc/rwGr0M+9swfor7CVeNC6/ViypCRcwvY2j6uqn3Ct9qZbzOfxCOzInDvNmMu9aNq8pF7Ru1OA45yFye6Vf5N3/XjHakFv1EPdWvVBN9cTSCSiDu6jhUYScvFlU/SU/5U+VoR2sxzDb4lVUQBPQT9bTsbCH7gmzmzZvHpuc3ETwymOUHlvtp9dicyKtbDVwL/LXt76pANPrO3ndYsWcFF2RcwJrCNZw7/FwA3nsPgoLg86snolZqcDkFXm/+FXPS5hBd9ja1u+EfB+Hjj+GZdxP45tA3jI0di0al6dKHIAhMS5rGtKRpzE6dzYXvXwhATnUOt3x+C45WBxqVhsgQKXQ9JwdSU+FwBLnT46TEtY3WfVMp+TAedRAcLjOaFJpElaX7nNqnM3X/raP4oWIy/5NJRHYEoihi3W1FO0qL8RMjU3OnogpVodAqaK1vxbbPhjpNjWWbhfhrOwfM2XPtRCyIIPHmRLwOLwqNAp/Dh0KjkEZNwMQfJxIUHYRSoyTuijhKHylF9IlEXRBF5FmRlD1VRvqf0nsku+gTsefb2auwMe9n5Jd+qmD5yUJQdBAtOS3UvFmDq9xFyu9T0I09MtsSRRFEKHuyjIQbE4hZEsOQJ4YQFClFs45a0bVo/Ikk4hcR5F+VT8PHDUQs6H7Gr5+kx7rTStR5UbQ2tiKoBKLOj4IDve8zUG6Z/wU2AyMFQagUBOFGJEW/UBCEg8CCts/95i+b/sI3xd9w7vBzGRMzhgsyLsDphO3bYcsW8LUG85uUF0luvAalQsmr57/K7NmwcSMsXQobNkBs8BBEREbFHP8LXjRyETk353BN1jW8uetNxsSMYVbqLB6e8zA11hpEUeSmm+CNN46c8++db0D5HC45K55XX4WHHoL8fGlfUpg0wpfpSukjpYTPC6f2P7UA2PPt7Ji0g5acFoLjg1EnSoo6ZEgIZf9XhvFTIxmvZlD/QT2W7ZZObdlybejGSCNtZYgSQRBQapXMKJ3RPorTj9e3t5nyhxRaja04S52k/SkNwxwD1l1WPBZPj2Q3bzKz56w97SYdf7SaWnHVDp68KoMRy3ZLr72xGlY24DF5SH0olbIny/DavEQvjmb33N1sHb61PeCp8NZCNmg34HP4iL8+HlWoql3ZDwQKtYL4a+Jp+rxJMut0g36CntJHSilZWoLjkIOQYSGkPpDapz4DMsIXRfHybnadGYj2D5PfkN/uLpkRlcH+2/bj8vnYshFGj4b4eHjqKRiV+BssYjPPXedDF6xj3jy4+mpITIQhQ8BYFkvpXaXt7pjHY0riFKYnTef2L27ngZkP8NgvHkOtVPPkhifZlW9m734dB84bxgO+YlQKFf/Z8R6h+Ut542vQauH22+Gvf4XWVmmEv716eyBvy88CX6sPZ5mT4f8Y3u6GZi+UPBgq/laBOkXdfmzYGWFULasi8z+ZRJ0TReYbmexduJfke5Nx17oZ/uJwbHk2tKO7mtyC4/x/5yHpIYz9pLN5L2xGGKZ1JqIvOn7yM8tWC+5qNyEbWondYcGU6SN8XueRfvlfymltaCXzzczjtnc6YtpoYvfc3Yx6bxS2/TbS/pyGUnP8SOWql6oY+tehRF0Yhb3ATvoj6bTsaMG40ojH5KFuRR0JNyRg2WJBdIkk35OMoBgcayxDnhqCz+0jdHL3Cj9iQQQJv02g/Klyql6qIvLsyG5/x8djUEXaiiJYLN3v31q1lfNHnM/UxKmMjR3LFrOZrJwc1v8gEnxTKdl/reHll+HQIRiZFkGUVio6ER0NF18Ms2fD2LGwfz+khaeRENrzHOVXjruSuWlzuXjUxWhUGgRBICE0gXdWVTH3xq9waSrYV1aJ2Wkm17iHSdFzCQ+Ht9+W+o+Lg8pKaYRf2FR42tV0PR7OUifqRDW60TochxwAOA44CI4PpnFNI+rUIwo/5lcx4IXIsySTWvRF0UzaOonSR0qpfqWa+v/Wox2hJSi8f6O3yPMiaVzTsyLUlq3SD/f/7hMpva2I4oeLuxzTtLYJ237/gYGHHjjE1oytOIodfRf4FKfq5Spir4yl8DeFVL1URdHdRbjr3F0iUx0ljvZtHrOHlm0tRJ4diUKlYOTrI4m+MBrdaB2CSmD81+Mpe7IMn8eHq8zFhPUTiLti8GTvVIYoyXg5A2VI9w+24OhgRr46kqTfJeG1eNuravWFQaXwV6+WFHN37KndQ1ZcFttu3ka8Pp7vTCYOOBy811LN7hGVvNpSTly8yGefwdEJGZctg2eegTFjJFfN3mLQGPjhuh+YkTyjfZvJaeLv7rFsSJJs/I/+vYwfyn4gSZzBxLGdV9xTUqC8HOamzcXkNPHmrjd7L8TPGMdBByEZIaiT1LQ2tuJ1eLEfsBPz6xjwSVkHD2OYZSBrXVYnjwdthpawGWEIaoGSP5cQ/cv+pySOXhxNzb9rKH2sFI+1e9OOq9qFab0J9+QQmoYqmWOZg22fjYIbC6h+TYqwdhvdOIoc2PPtXdw9HcUOat6sIfriaEofK+233Kcq9nw7KfelMKtpFpN3TsZZ7GRb5ja2T9iOx3zk/pcuLaXyeWmm3/RVE4a5BpS6zkow7Iww4q6NI3JhJKpIFUV3F6GKUBE+LxxBOThG971lxIsjmOucy4hX+l4IflAp/E2bYO8x3Ev31u/t5N2ywWRinFZH4fxD3JGQhFcUGb/ITmFhV4UfHg6xsTBiBBQVBUbem8fch/b7f1L+uxoWj1jC+j2lvL/tW1TlCzi6XnNKClRUQJg6jL+c+Rf+tO5PfHnwy8AI8jPAXmgnZEQIglJAk6bBWeLEusdK9OJoBLXQaYTvRuS/I+xdZknj144n4YYEXGUu4q7q/yguZEgIaY+kYVpvouof3a+7VDxbQcL1CVTNCcaarUWpUzL878Ox7bVRsrSE/OvyKXuiDN1oHUqDkup/VlP97+r280sfKyXxlkSiF0djzw9s7pRAknd5Hgd/dxBbXuDzQYk+EUeRlIpYEaRAO1zL2FVjiTwvEt04HXXv1LUf6yhy0LyuGZ/bh/EzI1GLupaP1KRqyPy3ZDob9rdhuMpcjHrn5C7KnggUakWPzFzdnh9AWfrN5s1gNEKDnwIxXp+XXTVHImP3Wq3sslr5k3Msaquaq1NiGanVMu6GJh5938K0af77GD5cUvj19VBcDN9+K9nW+0Ja5QNclHQLKRHxjIkfQcb0Yr4+tJbKHxZy/vmdjz2s8AHWvbGQWmst5713Xt86/hniOOhoTwOrH6+n/v16XJUuDLMNhE4KJWT4kRnTWzU13H7wIF83dw5gU4WqMMwxoJ+oJyQ9MPnYhzw6hPgb4ttNMbY8G/nX5LfvF0UR42ojcVfFseE6Nd6lkpkw4cYEJm2dhCJYgfFjI1UvVaFJ12CYaeDQA4cwfiIFCbmNbowrjaT+IRVthhb7ga4PssGA6JOuExH2LNhD8R+L8XptlJQ8AoDb3fOgJ3+4KlyoIlSd8tYoQ5SMfnc0URdE0fBJAyWPlGDLs+EoctCytYVto7bR9GUT0YuOPZuLyI5g3GfjMMyUo58HjcJ/4y9Oag62Mm4c5OV13Z9TnUNyWDJxemnk9lhpKb/VpvHreSHcsW0aY3Q60jQaltYe4tG4nSyrrejaCDBsmKTor7kGZsyAhQvhgQf6JvPnn8MFF0jvUw2pbNc9jrUmmV+MmsjRiRIPm3QAPv0oiMuLnKiVajw+/6YCm9fLitraQfnPfyLoWGjCMMdA+TPlxF0Rh0KlIOvbrPaScQDv1NVxfXw8j5WWdrk/cZfHMWXnlIDKphutw5Znw/iZkYLrCqh7uw7zZjMgmSHEVhHdeB0lPhdpYUceNIJCYFLOJCb8MAFE0KRrSPxtIj67r30k7yp3oRmikTxGooIQggRa6wOfors7Gj5pwLLtGAtnbTjLnARFBjHipRFM2TsF4yoj+x59m7KyJ7DbD7J161B8vr57IJl/NKMd6T+uRTdah+l7E2VPlJEzJodWYyvTCqYRMiyE2CWxqJPUfs+T6cqgUfjRj+/i300/MX2a6Ffhf33oa84edjYAVS4X35tMjCqLJysLHlkq2eTS1NIXvzwzk0dLSzH5Gbrr9eBwSG6aANddB+vW9V5ep1M675y2lHFnDTuLy2P+guuNLxg3tuttTU2VFH5JCZSVwe4dahJDEyk1lfpt/7vmZq4tKOCdujq/+39udFT44fPCQYTke6WiE0qtslNQSpHDwWPp6TS2tvKj2XzCZdNmanEUOij5YwmtDa0M+/sw9l2wD2e5k8Y1jURdIEV3ljqdpGs6x3Wo49VSiTxBUvjh88OZXjQdd60br92Lq9LVHhcAoB2pxZbfP5OJKIrSGkihHbdR6scflhwLub/MpWrZ8d2Ebbk2tGMkhRwcHczEHyZiU/0IiDQ2fobX24LFsgVR9OL19m7h2bLVQtFdRaQt9V8J7bC3Vezlse256bUjJZPP8JeG96qv051Bo/BbvQKCR2Sywdrus96RPXV7mJo0FYC7i4q4PTGRxgoVM2fSPppOa/tnOy8ykoWRkbxf7z+498orYdUqySf/pZegsPBIYBRAU2sr3uOMrNevh/Hj4XDZ0PTwdO6c+CB41WT68bobMwb27ZNMSJdcIin9IYYRFDYWdjnWK4rsbGlBr1Sy+VhuSwGmpaX7fZs3Q2mp9LB09zxfWY/wuXy4alxo0qXvT5+lZ0bxDDQpXYPirB4PFq+XJLWay2NjWdXYMy+a/qDUKQmOD8a2z8bU/Kmk3J1C1PlRNH3ZhHGlZEP2+HzUuN0kq7uONpVaJZo0DZo0ybsrZFgIIcNDsBfYcVW5Oo1Qw7PDe53Js7W5td1LCCRvl22Z29g2ahvbMrdR/nTXbIs+j4+ql6oImxGGp0maZZY8UsKPMT/67cOea0c7TkVNzVuAlFyMCdsJcgylsfEzAJqbv6Wy8gX27TuvVzPT0idKGfr0UCKy/QcfBccFE7EwghHLRjBpyyTGrx0PSCafw4XDZXrGoLhbnhYPoa1uoq5NYJjF5HeEf8B4gIyoDJxeL583NvJQWhoVFZKp5DDpGg3xwcFEBwdzb3IyT5aV8WpVFduPUprvvAMLFkBmpjTiHzcOduw4sj9582bm7dp1TJnXrDlizjlMalsshD+FP3So9FB5+20491yYPx/2fJfJW2vysLo7Z8O7+cABHisr4+LoaCpcJzZQx+GQzFz33w9hYZ2VvscjralYrZL31FlnQUYGjBp17IdDbyl/ppzQiaEogo78HLubphc7nQzRaFAIAudERvLlSVD4AFnfZZH5n8z2BbOIBRGUP1uOu9ZN3mSBt+vqiAkKIljh/19q2HPDOhXSMMwx0PR1U5cRfsylMdT8u4bd83f3KEuiq9pF4W8K2T1/N7vn72b7pO2U/LmE4IRgoi+KRjtCS/PXXZP1lfyxBMtWC+lPpOMocuDz+Ch7ooxWY6vfpHG2XBuKiQcpLLwFn8+N01mBT1+Pet8vMZnWo3ZkUbNrDU1NX2M2/4jZfCRNuSiKtLTs7vYa7Pn2YxYZEQSBrK+zCAoPIigiqN0dV6b3DAqFX7vFTqVCS9z5EYQdau6i8L0+L4eaDxEXNIL/+8CGuiGEhgplF4U/NTSUVWOl4JkzDAb+mJbGdyYTV+bn0+rrvrzY9OmwdSs0t7YybMsWROBHiwWLx799XRQlhX/0wmx8vORzP3Jk13MEQXogbNworRvceCNY8s7gI8vvCf1LZ4N/qVNKjHR5bCzlTv9Jkg7a7ZyxcycWj4d8m38TwCefwIsv+r/mhx6Czz6TopOLiyUTVXi4NAs5zMcfw+LFUhvZ2fDkk9IDa+hQ+MMf4Pvvu7b77LOdo46Ph8/lo+JvFYz5eEyPji9yOBjWViB7SmgoRQ4HDq9/k0UgCRkS0il9Q/RF0USeHUnmW5m8WF/NDQcOcGF094uHMZfEoDIcWZCM+WUMxk+MXRS+foKeUW+PQggWaNl2/Kdq7i9z8dq8ZLyWQeItiWS8msHMmplM3DSRMR+PIWtdFrZcWxdfdvNGMyNfH4lhpgFHiUNKYZGpJTgxGFdF10GGLdcGaYcQRTfbt0+iuPgBwoIW4tskOVEoty3EHbmb5uavSUq6g4aGT46ca8tlx46JmM1dU4N7nV5cVdI6hsyJZ1Ao/MpVzVSEGzDMMtC614LLKfKbDpUGM6aVE6GM5asfVTyh24srT88999BF4asUCqZ1qDJ0a1IS/xs9Gq1SyVY/phFRFGnxeMg8w83WrdLosdjpRK9UMj00lL1W/yOs+nopQGzMUTpKqZSCq7pLhf7ii5LraVKSpEj3rJ7j97gSp5MD06YxLSyM8g4j/K+bmviibUT7WnU1BXY7U3fsYHROTpc2WlvhnnukPlevlhT8YUwmeOUVuOEG+OgjePBBePlluPRS2N1hILZ3r/RA+PvfJWW/ZImk+M8/H/71L7jsMvjxR+lefP21dM6XX8ILL0gPxePR2tRK45pGdGN17SkOjsehDgpfpVCQqtFQ0s1D8USiMqjIWJaBYa6BjWYztycm8qejfYGPgWGuAUexA/NGc7spC6TRbNR5UYRNDcNZcezrsh+04yhxMHb1WOKviid2SSxh08LaTR2CIKDUKIn5ZQy1b9a2n+fz+LDutaKfoEepVaJOUnPonkMYZhkIGRGC/aC0oOy1e2n+rlnKE1Rgp9VQgCCosdsLqK9/n7TMe3BuSATAmauA1ZeQnvYY8fHXYTR+jMNxiL17z6Oh4QPU6mTKy5/pcg2OQgchQ0M6ze5kThwnLzXcMaj8tI4dV2pxxypRhijZ/6mDcedoefBByT5fbN3HY68+hM23G1Z4+ODGOK5/UTI5DD/Omo0gCIzWail2OpndYbsoikzfuROb10t4ejDlWydQ1qY4Rmu1jNJq2W21+i3QXFAgmTX8ZWH1Y8JtZ+7czp9HJSURPPYD3PbvubWwELPHQ4XLRanTyVCNBqUg4Pb5sHg8hKlU/KumBo1CwXlRUXze1MTHY8Zwedt0yOb1diqYnZsrpXWw2yVlf+AA3HSTJN/SpdJic0SENBrf0FaEa8KEzgp//35QqSRF3/E+X3ON9Nnjkcw8s2dLM4OqKul8UYSDByXzT3eIXpGc8Tng611VoUMOB2M75KoZFhLCIYeD0b3MULl7tzSDeeKJXp3WhWKnk2CFgpePdbF+UAQpiL4wmubvmzHM6TpCUKeou3jPiKKIz+Gj8fNGmr9pxpZnI/ay2OPasZPvTmbPgj00f9+Mfrye+OviUSeq22cc49eOp/79eqIviqbqpSochQ7sKXZKHy+l4aMGsr7OIjguGLs7l/T0R9FqpcCf8JjpRJ2Vi/nvL6JjKs7PFMTcNBatTktk5Lls3z4Jn89Oc/P3jBnzEfn5V+LzuVAojvyT2PJsaEcFrsiIzLEZFApf32Bnw2IHK+rqyJ4RhrjbxKWXaln9gYdx01Qkn7GZEd+eQUKlg6Wr0lh4r5Y77wSFQhotH48hfkaBXzc3U+504vT5qBPcOGdX8165mWEaDWdFRhIXFMTHRiMeUeTujtMIJIXvz06/vLaWdI2mx9kSK51O3FGxEL6YOqedWo+PcocLhSiNXkFalyh2OMjS69loMpGi0SCKIqVOJ9NCQymeMYNJ27dT5nSSa7NR4XJxb0oKe/dKCnz6dGmkf/310qg+J0eaFb3+uiTDnXcemalMmADL2zKums2wZw+sXSu10ZHIyCPrF//9L1x0Uds9/Vp6oMyaJSWzi4uTZkMj/AQGmtabCI4N7rELZWkp1NXBIY2TxR1MJ8PbFH5v+eQT+Oc/4bHHpN9RXylxOBgR0jef/9SHUom/Nt6vwlYnq3F90tm0UvNGDYU3F4ICVOEqPE0ehr9wfC8VfZaeSVsmYcu3kX9lPsFJwegnHUknrR2ubc8Kqs/SU/G3CoruKiI4PpiIBRHk/jqXpN8lUmHbx7hxnxMUdGRxNe2PaZg2XELCTQkU/qYQ849mdKN1ZGS8isEwC41mKB5PM9HRF6DTjaG5+Xuios5tP9+6w3rMPDIygWVQzKPK0+G29BQO2u0k/DaBiqcrmDyilZF/2sxvF7TgidlKlCeU7RMg+8Uyih8q5pFH4M9/7ln7Q0NCKD5KKWw0mbglMZHqmTN5Z9QofL8u5+OWOm5JTOSPaWlcERfHPquVew4d4ovGRoT16/GKksvoLbdIo1efKLK2qandI+G6ggKyd+/usYfCRrOZucGRKH54ik/nh/B21ASeqZiB78x5fPihdMxEvZ6dViubzGZEoMBup9btJlSpRK9SoVMqSdNoKHM6WWcy8VVTE5s2wbXXQlaWpNC/+Qb+9CcpH/+uXZLiNxikV0ez1Pjx0szAZJKU/PjxkvLWHMO8evbZ0prF2WdLM4gLLoApU6SZQ0aG1E5JSdfzGr9oJOaXMT26TwC33SYttOc2O4huDWlPjzFMo+FgLxR+pdPJpw0N/PADNDXh1yOsN1S6XCQda1p3DLQjtF0SrB1GnazuYku3F9hRaBRkfZfF9MLpTFg/ocfKMmRYCNEXRBOxMIKSh0u6PS9iQQTOEieGuQZGLBvB8BeHk3J/CtG/bUWlCu+k7EF6QCTfmYwyREn4/HCav5UWiAVBQXz8tYSHzyEqYhGHHjxEpO8Kqqtf6XR+y/YWWeGfRAaFwtcOMzAtNJRDTieRCyIJigtixIf5hPi8vMJOztsxjOBmBe9frCQoPYTGNY04Djkofqj4mDlODuNvhF/idDI0JAStUsk5UVH8fr8UmutzSmYRrVLJjilTuDAqikvbtEuRw9G+CDp/vsjdRUWcs3dve9sj20Z6efaehcd/29zMxSkRJKt8ELuf19d9ys7tAmfMEHjuOck2Pl4dxjqTiesLCvhnRgZ6pZJNZnMnf+/DCj/fbme/zcabbWl6srKkdYUFC6SF1qFDpYXl7tYYQkOlGdPSpVL20dWrJZPOsVCrJaX5/vvSQ+aZZ2DaNGlBd9kyuPVWyfX1aKw7rcdMCduRgwelB9Wy13zUuF3cfKGGCRMkD6OxOh372hatRVF6sPnr7zB/q6jgxgMH2LbLx+WXS4vQtbXdH388qtxukk5AOUN1iqTwOw4ebHttjPloDBHZUqHt8Hnhva6slXhLIj6HD/1E/5WdQjJC0AzVMOzZYURfGI12uJbU+1NxivnodOOP2XbEmRE0f9eMz9XZQcJ+0E7F0xW0/G06zc3rqK5+Hbu9ENEn0rKzBf3kE1dlSqYzg0Lhz14Q026LBUi+JxnFQTMvR3lRRCs5b/s5kBSEuFDHzMKphM8LZ8fUHZT/tRzLT8f3Ux+j05Frs3Vyzyxus5Mf5r7fKRj3yWjKVsSwqa2UbVxwMAsjIhij07EoKoo9FisrV8LneVYeUe9jk9nM+ZGRrDNJ5fGq3W6ujotjlfH4YeYun4+VRiOXxsQweWQc2iW38mrZXWzbJincigrJVPL5c6G8U1fH/IgILomJYZRWyxdNTQzpIHu6RkOp00m+zUZDayt1jlb+858jQWGHWbKEblNOHGbqVGl0fqwkdkcjCJKHz5NPSusCv/iFpEQvvRQWLerqzXO4sEl3SsdqldYHXnsNmpslU9E558C4RTZSg0PYnaPA45FMTpNDQ9lpsTJ2vMj+/VJ67KVL4Y47oKPzzhqjkUv27+fd+noiCCZ0YSNPPQVPP911baU3VLlcfn3v+0tQRBAKtQJ3zRHvGts+G7px/aumFXFmBIm3JhI23X8lL0EQmJo7ldBJnR/GVute9PpjK3xNqobQSaHUf1DfnoP+sNxBsUG0likJDZ1MYeEtlJT8kYJtd6E8czuqSFi/XqCi4oV+XZvM8TnhCl8QhHMEQTggCEKRIAgP+jsm+eZ4hraNwlcWrOZ28Xcs+sMVfHznAvb8Zy9Rligs2VpGh4egUCmIvz4ehVpB4u2JtGz377omimL7jy42OJg/paWxrPpIwqoSh4OhHWyvYWFw57hYXnkqmDkdnGduTUpiXVYW43U6Ps+3kZwMD1vzmWswsHnSJC6KjmZdczNmjwcR+G1iIq9XV3NbYSGPlZbS2E2inpVGI+P1epI1GuJ0cUSpE7B6TGwzPMj4qS1ceKEU3LXhn2FwzVSWDZUWBUdptXzR2CiZqYolpTdJr+erpiZsPh/TQ0PJdVmZMKHrovJddx2x3fvaRo52r7fTKPKee6SR8/z5fsXuwhOlpXxwVICbIByp/jVlimR/7/gMdBY7UegUnbJddmTePClW4ZZbJNfRT7fZmb/Qxyazmfkxhvbr2r4dwlVBYArigM3OI49ID6rQUGl2sWXLkTbXNDbyqdFIuFPNrJZ41PMasURb2bxZmgX1lf6YdI6HbqyuvYyj/YAdBDrVBegLgiCQ8UoGqtDup27+knPZbHvR6cYdt/3E3yZS/tdytqRtwWuTnri2/TYiz47EVeXCYJiFWp1KU+066syv4btmGc3N3wJ0MffIBJ4TqvAFQVACy4BzgdHA5YIgl4gdMwAAIABJREFUjD76OJUhiGBbJfcEr+TW3M18pJqOZdoK0sPT+bBmBd88+A1b7tMzrG1UG7M4hqn5UwmfE07z912nkD63j81Jmym85UgU60yDgRyLhdVGIzavF7PXS/xRU/HZbW48HU0eSkFAr1IxTq9nY6WN7Kvt1Le28vvUVNQKBb8ID+d7k4kKp5MUtZpZBgOLo6MJUSj4wWTiXx0eMof5b10d9xUV8bu2Feffz/o9/7toDYqmTFxTnibfvI0LLoCYGKisFMiK1LFli6TlMrVa6ltbmRkWxn33SQuto8Qw9tpsnBMZySyDgcpIk1/vJdX/s3fecVFe2f9/P1NgZpgBhg7SpIgo2DX2kqgxJsaY3pPdtE1PNsluEtM3veymJ2u66aYY0ztijYqgSJEiiPTOwDRgZu7vj6sgAgqWxO9v83m9eOk8c597n3lm5sy553zO52jAxwdWNTTgvWYND5SW4rN2La9XV3eN2WegB5IMB0hraWHdQeQNNBoZWtpfBbXx28Z+W7o5HPJH7OefJXV17VpIm5lHx6QGfmhqYk6gH3FxMHWq/EG8/nrQ55tZ+GQ9K1fKvMPjj8vdxZdfds/7S0sLQSovit8JIu0FXypG1TA6I4OEBJkMPlxUHmuDv1e0rf7TeoLPCv7DmqNbrTsOGdIBCFgQgLPUSUdVBw1fNtDZLKm3AScH0FHTQUjwBURo70N8vhjyRmBkDjk5iwkOPoeOjlo6OvpQTjwABQXXsGvXP2lv/7Nz3GBxrD38SUCxEKJECNEBfAQs7mtg8c4bme/8Dz5+QwgOGo+XouLOaXexqXITzpONvNZcy9nB3Uk+rb8W83wzHqeHHQ+9jcfT7Um3pLXQUduBZU23IUrx8SHPbmdxTg6X5Ocz32xGdcCXJzlZ0vWczp4Kmu+/D9UbfShT28icWsQ1ERGo954br9dT3dFBakYGQVrZcOPZxESeSUjgktBQcg+I53uEYFl1NQsDA7sKdeLMcUweEcV5J8nfwuzabE45RdIlhwyRNMj582Vjl2SDAQWY4edHdbX8Ufj1Sy1TfX25KjycqEZ/1NMbqVf1n8jcZrWyKDCQ5ysrmeLry9cHVKtGD6J7Wp7N1m/h1z6MGNFTEK9hVQNBZ/RdpLRjh2QBxcVJUbvX3xCISDsP1O+ivL2dxUFB3HQTPP+89P43boTv/hLFxrBKrv27ixPP7uDCC2Vo5403pH5RZVsnxfUdjH5tLCc1RlHxS3e4IiBAVg0fjlyExeWi0OFghOHY0Ap9Unxo/U2GIS3rLZjn9d/39FjC7bbT3l6GwdBHReEBUPuoibk3htgHYqn4TwWVL1Wii9ERfK4sPPPsjKHt8UnERN/D1Gt+IXXRS2g0/hiNY/H1PYHW1t8OuUZt7XLKy59k48bIo/Hy/qdwrA3+EGB/2cqKvcd6YOu/fGizb8NgGMG/3LfxXVQBJrWayXELuHXyrfhHnsapAQGkGHvGfLVmLaO+GUXz5Fsp/+pHqt+oZsfpO2hJbyH6rmhcFheOUmn4fNRqhhsMXBgSgkGlYllf5bBIbzQioptZ4nLBxRfDA1foUcKclHkcLN3PIiqKwj0xMfwrNpblB3A1U3x82LFf8ZYQAnV6OussFh4ZOrTrR2Mfrp94LddOuJbsumxUqm7q59//LhOvr7wCbVtNLI2JwSC07NgB998P334Lq8eMYX5AAPkr/Ij18WZaVha1/VixUoeDUwMDaZw2jW9SU/m5uRnXAZXIZ+zYwfkH6RTT6nJR29FBQ2dnryR1hdPZI0w0YoRsMp+fL/u6tm1uI2Be3+XxmZmysCtnp4eWxCYu+IcdvDxUtLfz9vDh+Gk03HQTjB8v78tLL8GEUAMn+vtTfGkuJzVupLajg/A4F6dfa+fWW+HKx61QYsTYpuedZWpEu5qGadPQqVQoiiA4WNJH98dBCrMBWFlfz6qGBmb4+WE8VGb7MBF8XjCWNRZat7RKzZ0jDOccLmy2PPT6YahUA+sgFnN3DDH3xqCoFcqfLCf00lBUWhWdDZ1kTsrEus1K5I3ReBkCUKu9GDr0MQIDT8PXdwqtrRt7zVdQcDU7d14BQGvrJoQQpKZ+jVr9J7tnsDguePht023gcWL2O49w+zMY7OsYbhhPHUZOnngPp2Rn80Fy7+YFTU0/4+OTAqZWSp/7Fb7wAUW2y4v/dzzte9pp+q6JIdfJ35gfUlOJ1OkOuS0eO1ZKBwQFweuvSy+7okLF6C0G5pnNXRz5ffjX0KF9zjPCx4cChwOXx4NGpaJib9VspLc3wX0wO6ZETUGlqPjbN3/rOlbaXMry7csJHnYZ//5PDCtWaBk1aigb75D9ec89V9JT62pUBAXBJ8s1bPhbKne35/J9UxOXhYX1Wme308mle++DWaslSKulrL29q4IVYI3FQrPLxTN9hCzKnU6mZmXho1IIdDfS0hnAjqYyUszRNLlcDN+8mVujojgrKIgxJhPJydITv+oq+PTaJvxn+/fqUASSZfPLL9Lg37+nlP9WVRFwhpaZ3n48EBvL2AM0px97rPv/T8XH82xFBTa3my8bGtAoCmnzytn98EQ4x8r44T588UX3+ECtFp1KRZPLRWioltpaiNzPYUxKklXR+3IR+8PqcnFeXh5+Gg2P9PPeHw1o/bXEPRFH0fVFvUTWfk/YbDsOmbA9EIpKIeaeGHactgP/GZJ66pPiQ+DpgUTeFIna0P3+R0RcCUBHRxVlZY9htWbj7R2JVhuAx9NJU9P3tLeX43Zbqa9fgZdXBAEBCwGFzs7mXlTRP9E/jrXBrwT2r1qK3HusB955zITbzwHBuUTF6Fg0cz0p5ruZn52N796M2vyAbo/Q7XbS2PgleXkXEBS0N0I0tISEZxOofqMa5x4n/jP86azvJP/CfFBAG6Cl7j/l+D6bgN/kgzdCuPRSGT9WFMkr38f3vyUykqn9cRr7gI9aTahWy6U7d7IwIACzVsskk4lH4/qvLB0dNprCxkLsnXYMWgM3fHcD3xZ9i8nvZUTse+jU82hqggsvlGGe4GBpSOfNkxTI4cNlFewJ5b5sbWvrZfDXtLTwW2trD1pnksFAgd3eZfDrOjoQwDyzmcy2ti6Dv95i4dHdpcTrdQTai9jZkEt7+ScQfwOnfPUyF01/nBcrK3F6PDxcVkaOzcbKlBRmz4YNG+Cmm2DFNXVM+kdv/r3VKndXJXYHlz3RwRtV1aweM4ZFO3YwxmhktvngX+oonY5nEhJYUVfHWzU1nGAysdtj58GvWvhOa2FxeO8dxRAvLyra2zGbtVx/Pfx9ZT0+XiqcnYLiZhPFxd59Gvz0vTURFperR5jxaKO9vZKWSfdh14zHYxmJNujIevQeLmTCdnAGHyDglADGpI+RyprAhOwJB3W2TKYTsFq3kp29ALN5Lr6+J1BUdAOK4sXUqbUUFV1PUtIbhIScL1VH9XE4HLvQao9u/4PjFatXr2b16tVHNMexNvhbgERFUYYiDf35wIUHDrpv5kVsLfqAovNnUm8fjsfzEY+FNmDSRLGsqgrnzJldKoQ2204qK1+gqupVgoIW09CwErXKiNeCaiLnR+Lc7cTV6kLlrSLw1EAib4uk6PZsmJOGsu1UqpdV92vwPS4PKo2KhQvh7bdlYc4pp3SHVv4SPvCm5/sQr9fzaX09261W8ux2bhoyhJMOYrx0Gh0pISlsqdxCUlASa8rWEOUbRXlrOVw6nzMm383lUY8wcmQ3xfKxxyR98dZbJZURYLzRyIe1tbR7PHjvtyOZtVc7IWo/rz3JYKDQbmdhoGwVt6m1lYkmExNMJjKtVhbtzTW8VV3NL7XFfOsVxOT67yk65Ql0mtsJ+eR2KrWRvFhZQYqPkcm+vsTqdHy2t3WZRgNTpsC6bzpYG9PCKznJdHcGlonaxYtlg3nzOeWcVS5zHGNNJiqmTh3U/T4lIIArCwrQq1RMNJn4QF+I3ePhuhG9S6OHeHtT2d5Oe7uRTZsEtxXuosrdzhCNN1xqZvfuJKZN63lOrs3G43v2cF9MDMkGAwHaY2OEOzrq2bQpAYNhOMrlhXhVPImi+v0TtnV1n1JR8SypqYNvx6moFPxndheWHWpnrdX6k5DwPLW171Jb+y51dSsAMBiG4+UVwsiRn/QYr9PF43SW4Ov7v2HwZ8+ezezZs7seP/jgg4Oe45jG8IUQLuAG4AcgH1ghhOgVGI6In8HZ77TS9P1KpkZNIzHxFQp2XsJfvX7lhYShPSRni4quo6rqZSZMyGTEiI8B8DGm0mkowuEoIfaBWOKeiaGhYRWKTwcJTycQ/N4muP0pxm0eS8PKBjqbujOyrlYXBVcXUHRjEb/F/kb9F/VotbKI6NZb+5ZQAFlM4na6yT41m9oPetI8PC5Pl8RsvF5PpxAU2O2cFxzM+SEhh7xvs2JmcdqHpxH+TDh+3n4sSFjA+BBpIndZdjJihIzpz5q191pcVq66SlbEnn22PDZhb/jj/Lw8pmZm8lJlJSUOB6FaLdkTJqDd754m6fUU7Fet+lNzMyf6+zPJZCKtuZnXq6q4obCQLxoaCCx6hKE7/8nK0/5NlF8UwT7BPD/5MlQRpxKlcrIqJYWHhg7lsrAwtttsXfRPAEe+HZ8UI9+na3rEyL/6SuZKlq9w4xzWQoxOx22Rh5eQM2k0zPL3Z2VDA3dFRxOj0/FlSgq+fcTZY/bKVixeXsHYJ8ppa1PwLJxOzPNjYFY9eRU9KbUdHg/Ts7KY7e/P3TExnD2A9/JwYbGswd//RMaO3YCIKEM5/ftjttbBUFf3Af7+J+HvP+t3WS88/C+kpKxEUeQPaUDAQpKSXutzrMk0lpaW1b/Ldf1/AyHEH/oHCNHWJl6bbhDLRyEqLBVCCCGKi/8h1q8PEzU174v29hpRXb1cuFx2sWaNSXR0NIl9cDj2CKezWpSU3CvS0hA2W6Gorl4u1qwxim3b5gm3u11s2jRSpKUh7PZSkXdZnij+Z7EQQghnhVOkkSbWBa8TpQ+Vivy/5ottJ28Th0JHc4dII038lvib2Bi7UawPWy+q360WHrdHCCFEznk5ovK1SiGEEI+XlQnTmjWi0ukUHo/nkHMLIYSj0yG+KvhKhDwVIha8t0DsatolihqLxJc7vxQL31/YY2xBQ4EIfSpUuNwu0dTUc55Kp1OQliYmZmSIwLVrxbUFBeIv+fm91ttssYik334Tn9fVCY/HIxJ/+01ktbaKdrdbxG7cKIZu3Ci8Vq8WEzO2CN3DOuHsdPY43+PxiKQ134nEVQ/3OB6zYZ24c/0rXa+75r0asXLuShF+ylvijTeE2Hc7zj1XiGXLhCAtTZCWJjrd7gHdp/7wckWFIC1N7LTZDjrutcpKMSEjQ2hWr5ZrX1YiZs4UAoTgqmIR+nFm17UX2Gzi5G3bxPgtW47o2gaKwsKbRFnZ40IIIUre/16kfxkuPJ4juy8DgdvtFG539/u7YUOMsNkKjvm6B6K9vUZs375AlJU90e8Yh6NcrF1rFp2dLb/jlR0/kOZ7cPb2uKi0xWjkq9OHs7hEyxAvGVaIj3+CxMRXqKpaRmXlK5SU3EVb22YMhhFoMXbx/HS6KLy9wxg69CGCgpZgtWZRVfUqw4e/jdttIzNzCjpdFGbzXOz2fOIei6Pu/Tos6y04SqRXG/tALLH3xpLwXAItq1t6aeFsjN1I43fd1EXbDpusEhVSidArwoudl+ykbkUdboebxq8aZTekLxtIKlVIMhjwLegkc3Im7ZWHbmii0+g4bdhpLBm+hNSQVOLMcSQEJBBuCqfGKnUAyi3lPLr2UT7c8SG1tlq21WzjwEhRhLc303x9uTs6mvNDQthpt/NUfHyv9cabTLS63ZyZm0v23mrdUUYjXioV36SmsnHcOE4PCmK23kVCQALemp7JQ0VRSJ8wjbqdz1Jv6+ZRR7jreTz3B97IkgL5VUVVrG5fjXv2PTz8WAfP7i2sXL8ehs92EKDRkDNxYq+k+GBx8t58T9Qh+PFT/fzIaGvjtshI/FUa5mtCu7T8fT+No7a9A9UYC9XVsCQnhx+am5k9QGG8I4XVmonJJGN2MefOQxccSH39J3R29m5m0hfq6j6htXVzr+MHfrb3h8fTTnb2QoqKbgIkKcLttqDX//5tBL28QklIeIHw8Kv6HaPTRRIUtJiyssf6HfMneuL4MPjAZ7dtwrRgcQ9FND+/6Vit26itXU5nZx0tLWvx8UmWAfapU2Wmbz/4+KTQ1PQddnsBgYGnk5z8PibTRJKTP8BgSMZuz8M73Juof0Sx58k9tJWWEXxBEEOuG4IQAo1Rg3La9+RnX0HVF9vYcfFGyrd9QHtZO5Z1Flo3teLp8ND8czOmCSbG/TaOITcMYeSKkQx/dziVL1TS8msLuhgdLatl0+XkL528mZRE03dNtG1uI3NyJrvu2DWge/L43MdZOmNp1+MwYxjVbdXsbtnN4o8Wk16WzgPpD+Dr7cvPJT/3OUfamDGcERzMi8OG8euYMQT2EXNWKQqPxcVh1mh4q7qaCSZTV43CCB8fQr28eD85meHOfEaHju5znVC9iZSgJPLquwn37Q0biIw5o8vg7yncQ2h8KOG+QVx1bxarV0tVzsaYZmZWbuLEvTIWR4o4vZ7N48ZhOEQJ7XCDgdMCA/l7VBQ106fyw+uGroK1hKEKVw4JJ/Csen7d2kFlezuuWbN4oo8fzGMBu72wi/eu0qgYNvxF8vLO77d9oM22k/b2blGgiornqKl5q8eY3bsfZsOGvsNQQnjIyBiHSqWnvn4FVmsOeXnnMXz4chTljzETBkPCIRk4UVG3U1//6e90Rf/3cdwYfI1Kg/LSS/Dmm7IFE+DlFYRarcfjacfffxb19R+j1w6V6li+vvDxxz3m8PEZSU3N2wQFnY5KpUWvjyUp6VW0WjP+/nOoq/sEIQRhl4XRWd/Jrs4zEeM30N5eSXq6itbWLYjzl9PY8gWFvhNpnHMxu1ouQjPMwp4n9pA5OZOdl++k7KEy9MP0aAO1KGrZozT47GBsO2w0fNFAyPkh6BP1tGW0YdvYRqrRSOtvrSS/n4z/if5UPFcxoHvir/PHT9edYA71CaXaWs3wF4ezq3kXX13wFWadmdum3MZ3xd/xa2nvFlTaAXrLl4WFcVFoKG/V1HTF//eHl0pFdt12RoX2z9YYFjiMgsYCrB1WntnwDGWlK2nVD6WoqYTP8j5j9849RCRGMCxwGN5hJWzfLrn5yvXFvJKYyHOHam4wCEz07VsrZn+oFIWvUlMJ8fLqkdj+6ScpE33tRDOWqdX821bCWJMJtaL0qp04FnC5LLjdNry8ukkC/v6zmD69FZsth/R0FW53z9qHnTsvJTPzBBoaVuHxdNDWlkFzc1rX8x5PO2Vl/6KzswGXq7f+VEtLOoqiZdSor/HxGUVBwRWEhV1OUNCiY/dCjwL0+iQ6OqpxuQ7dDvJPHEcGH4CQENmGab8eeT4+qZjNJ+LnNx2bLQf911mSd/jPf/YUS0HSutRqE7GxvbPXQUGn09lZj9WahcZXQ9zLIRBfgj3pA/bseRyAnJwlKB4DURlrUG8+GW2UG1/PqQQ/tgfckkdc92Ed0XdHE3ZJT7qjWqfGb6Yf1a9X4zfTj8ibI/Gb7od1uxWX1YVlgwW/aVJyVlErg2ryvA9atfTO293tTIuahpfai6Z/NnHzCTeTXpbOSctPwu3pu91fa3srE5ZNoMXZQvru9D7XT/HxodXt5uR+WETba7f36+EDJAUm8Vrmazyz4Rlu/+l2Xpn/KNE6PRNHXsc5Ky9H60zFmJhIvDkeq9cuGhrg53VuOkIc/DU8nIhjJFEwWMydKxlDY4xGXBoPmaE1tJVp6UcW6ajDbi9Cr0/oxWrRaEz4+k4BwGrt7lTjcOzC6Sxj2LD/Ulh4LSUld2MwJNLZ2YDTKRuYt7Zuwmgchb//bCyW3o3KGxq+ICTkfEB+59raNmM2D1BQ6Q+ESqXBYEjGZsv5oy/l/wSOL4MPUv1q5couLz8k5AJCQy8hJOQCAHTfZsLSpbI6avv2Hqfq9bHMmNGKThfVa1pFUePvP6crrumOzAGLL3ZjOpWVLzJ06CN0dtahq53F7tsbcD9zGSNSPiBs+CKcgbL6L+7JOMKvDif2wVi8QnsXTiU+l4hxrBHfE3wJvSCU0WmjMZ8o9cc1vhp0MTo0Rg0qvaw6PFwsnbGUWyff2vXYT+fHJaMuAaC0pQ/xeSCvPo+t1Vu58ssrmf3ObN7NfrfXmItDQ8mdOLFPzrtHeNhes53RYf0b/DhzHBlVGTyQ/gAPz3mYc0aew+mBgXxvmIVywsdEVoBzeDTxAfGUWnZxwQXwr/etxKoM/Tb//iOhUhT2JMxi4ecTKFsa36Mb2LGE3b6zq6vUgRg58jPCw6+mrS2j61hLy1rM5rkEBi4gNfUramvfZejQRwkMPJWGhi/3jknD338Ovr5T+5QvaGvLwNdXMsF8fGRfaKNx3NF+accEPj7JZGVNoaOj7tCD/8dx/H3LTjhByh2ecgoIQXj4XwgImI/BMIx481J8ch3S2KekyG4dg2hgbTKNw2rNBMDSuo4gr8tJSfiZYcNeJSzsr0RE/A1dyUIARrw0C3PEVIzGsbRrZZcM00QTSf9N6relnD5ez4TMCaj1Mnas0qgYctMQKl+oxP+k7mTfPq3zvAvyqHx1cAJQnvs8PHziw8yLn9fj+PIly1mQsKBHDH1/5NXnccKQE/g8/3Pmxs3lzp/vxNHZU2/HR63ut1Xg1qqthBnDCDP2rtzdh4WJC3njdLk7mzREJhwfiYvDM2sWO4Im4OWrZpuhHbNvHBvbddz2rJ0nV1qZFXH86qFHRSp887yR+aN17K804XQeWn7hcNHc/BP+/rP7fE56+SdQXHwzmZlTcDrL9/5AyEp0k2k8U6fWEBS0iODgM6mpeWNviCcTX98TMBpHYbPt6DGnEG6s1u2YTLIhudGYipdXGN7eg687+SMQH/803t5R2O07/+hLOe5x/Bl8tVqGaux22UtwP0TtGod63GTZk87XV4reHETv5UAYjeNobv6ZoqKbqK5+jSGTFxMUeRIREdfg7R1GYuLzeLVKAbOQc2Vyy2AYgdNVQMxDUXgFDb7RRcC8AEb9OIrof3br73gP8abskTLqPqqj5deWQc13sOKVEUEjyK/vu4VTfn0+i5MW88iJj/D8gudJDU3lq8KvBrRmk6OJlTtXsjBx4UHH+Xj58Nexf+Wh2Q8xJWpKj2sO2OFBM8FIeksL19V6UWKayt+y08lttzLWePwa/H0YObLnRy00FBYvLsBuLx7UPI2N35Gbez55eRfQ1ra11/NCuGlq+pbAwP5j56GhFzFpUiFBQUvYtm0OLS2/SDLDXuz7jAQGLkKrDaWqahk2Ww4+Pin4+PQ2+DZbPt7e4Wg0Ml/k6zuF0aN/GdTr+iPh5RWKv/8snM6+d7d/ohvHn8EHqWlwxhkytAOyA/eMGbJbxf4NUhcskMphA4TJNIGIiGvp6Kils7MOX9/eVZyJLyQytb77uEZjxMsrjNDbBr6TOBAB8wLQD+3WqfGO9May1kLI+SFdmuFHA5MjJ/NzaU+2zh7LHlweF9trtzMieAR3zbiL5OBkZkbPJKMqo5+ZuuERHgKfDOSNrDe4evzVA7qOa9uuJW9MHhljM+iolwJubVvbiJliRqMoXBASykOhXmy1tZNltfbSyDkesb/Bb22VCpupqY9RWblsUPMUF99Cc/PP1NV91FVJuj+czt2oVAZ0uv4lS1UqbwyGRKKj/0FIyLm0tWVgMPSuEFQUFeHhV1Bf/ykdHdXodPHo9Ym0t1f2SHJaLOn4+c3ocZ6PTy8V8+MaOt1QHI6SrsednS3U1n74h12PEIKKiud6Jdf/aByfBh+kwV+6VCZo58yR37DNm3sa/NNOg1WrBjylSqUhOvoORoz4kEmTClCrezdrVRvUvTx5o3F0n97Y/vB4Bq6vO+y/w5hWN42Ye2NwFA++AXd/WJS0iKzqLG79/lZanHLnsOTjJTy69lG2Vm9lbtzcrrHjI8YPyOA32hvx1/lTfms5wwKHDeg6Cq8qJP6peHTxOhpWys4nthwbAaNNbBg3jmcTE1kSPRab4k1GWxsq2+/jmTXYG+hwD14HWQhBYuJmcnJkojs3F8aNg9TU32hsrEQIN0Ic+ofb7bbR3l5OYuKLBAefQ1PTt7jddrKzT6G5+Vfcbic2W+6AZIj3ISZmKb6+U9Dr+475m80nYrGk71W71KBSafDzm05j46q91y1obpbx/f/L0OmG9vDwi4tvIT+/l4rL74aOjhqKi29h1647/rBr6AvHr8GfORPi46UIvE7XTcHc3+CfeCIUF3cleAcKRVFhMAzMeAH4+8+mpaU35XEfPJ5ONmyIoKPj0K0N5fpyy60bqsNZ5kS4B8/Y6Qs6jY5PzvmEKmsVS39ZitPlJLs2mwfTH+TKsVfi49Udnx8fPp4N5Ru4L+2+g85Zba1miGkIXuqBhbOEW9DZ0In5ZDMh54ZQ91EdQghsOTZ8UrrXHxaYiK7iQ7Du4i+fn394L3iQiH8+nhPfGTzzZM+eR6mrO4GAgAzuvFMqek6blkd4eAFtbZWUlt7Lxo0xVFe/3eM8my2ftrbMrsdW6w4MhmRCQ88nOfkDHI4SWlt/o6npe0pL72PdOj9ychaj1w/8s6lW+zBu3AZUqr7fH602kBEjPmLkyG4Kc2jopeTnX8yOHYvJzJxES0saZvNJg7spxxkMhmE0N/9CW9tWhPDQ2CjDlR5Pd89ri2UDJSVL2bgxlrKyR3C7D97H4Uhgs+WgVpuwWNYeszUOB8evwddqpTEfNw6mTYNhw6S3P2JEzzHnngsrem+NjybM5rlUV79OXt7FXcdstnysVkkFa28vx+VqpKVlcHFPtV6NYZiB3Q/s7tLeOVLMGTqHa8ZfQ059DttqtjHUfygXpl7IfbN6GvajShrWAAAgAElEQVRgn2C+u+g73tr21kEpotVt1YSbBp6862zqRO2nRqVREXh6IB01HVS/UY3H6ekh76soCq+NPZlhu5/E6HXsY/jtrnZa21vJqska0M5mf1gsG/HyCmfOnHW8/HITev08Tj99DpWVV9DZWUlT03dER99JcfFNXRx3j6ediorn2L37fkAWUmVlTeliwKhUGozGUdTVfYjROJbW1vVdXrq39wDbjQ0QISHn9dg1hIZeQELCczQ1fUNbW8betoMRR3XN3xu+vlMZMuRGSkqWYrVmo9UG4uUVQUeH7OYmhKCo6Aaam38kKuo2qqvfxGLprb1/OLDZJFGivb2yq/bBZsshKOhMHI6iAe3+fi8cvwZ/H84/X0opKgoUFcGBipUnnkhX1/ED0dAA11xzxJdgMIxg2LBl1Nd/gsvVhtttY8uWEezceTlAV+ywqWnwAlejfxpN049NAy7GGgiGBQ6jsLGQVTtXMT9+Pu8uebeHd78Ps2Nno6BQ2FjYxywS1dZqwo2DMPh1nV29atU6NTFLYyj5Rwm+k3x7JZwvGnURW67awtbqrazMXzngNQaLnQ07Of+z85kQMYEn5j7BUxueGtT5DkcB4eFXcMIJX/Doo/cyZpyZqTN3ERLyLAZDMQ7HLiIirkGvT2DDhlBqat5j8+YR1Na+R2Pj12Rlzaai4jmGDLmBhIT/dM1rNI6ntvY9AgNPQ1G8MJtPwmgcg8k08Wjfgh5QFDUREdegUvkwbNgy4uP/fUzX+z2gKAqRkTfT1pZBdfVrmM3z0Omiu5g7bW1bcbvbGDduE5GRN2I2n4jDUXTE63Z01LJly0ja2rbS0LCK4mIpS2GxrMfXdzJabTBOZ9kRr3O0cPwb/Dvu6JaA7AtTp8ruGn1x5HJyZBGX09nzuNUq5x0gFEUhIuIqzOa5NDV9i91eiJdXGE7nLoQQOJ0lmM3zaWj4ErfbeegJ94NXqBexD8bS8PnAwkEDwRDTEGqsNTyz8RnunnF3v+MURWHRsEV8sOMDQHpBBxZuVbcNzuB31HegDemWbwhYGICr1UXoxX0IywO+3rIi9swVZ9LuOrTO0OHgyi+vZGTwSN5e/DYLEhawqWLTgM/1eDpwOvcQFn4d/uGBjBmzmmf2FDDy5VFMny53Jj4+sylvrcJsnoePTyqFhdfQ2VkHCIKCzsJqzaKm5i2io+9Eq+3W5Q8MPAWPx4nBMAKDYThG41gmTMgiIGAujzzSsw/w0YZK5c2ECVmEh1+JwfD7a+UcC6jVeoKCFlFV9QrBwWeiVvuRnT2ftrZtNDf/TEDAKV0yEXp94lEx+DabzORXVDyLw7ELmy2HqqrXsNmy9+6shh9XdNHj3+AfCuHhsut4enrvPnVlZZKnn3cANz03F559VmryDgJm80m0tKRjt+/Ez28mKpUPbW0Z1NQsx99/FkbjaJqavhl0bNB/lj/W7VY6W45OKec+T/rC1AuJMB18q379pOtZlrkMl8fFsq3L0Pyrp4xwVVvV4EI6dZ14BXfHk7VmLSM/HUnwOf03Cim6sYiUkBRWFazCIzxc/PnFB911DAa11lpy6nK4d+a9jAwZSZw5jiZHE82OgYmQ5eaei6JoWFmUxtnrfyRxzK/stnZS2lLKNd9fSmXlJKqqHmLGWzMo9sxg7Nj1jB79C6NH/8rYsetISfmUyMhbCQ4+q1eoJjDwVEaPTkOrXURQ0FMEBZ0OyM5fzz8Pv/afNjoqMBgS/7Cm6McKQUFn4uUVhr//bFQqGUJsa9tCU9O3PfIUR9PgBwScSlPT9zgchWg0gZSU/JOIiL+h1ZoxmSb0aNu4f+/tPwL/9w0+SC//9NPhttt6Ht8jy8rJzpbdTPahuFga+4rBhVH8/GZSVfVfqqpexmAYjq/vRLKyZmC378RkmkRo6MXk5p7N+vV9N+juD2q9GuMYI9atR08PpPjGYpYtOjRlcETwCCJMEawtW0tlmywCK27q5paXWcqI8u1dudwfOup6evgAwWcEdxWj9YWEgATGhY/jvE/P466f7+KjnI/IrM7sMcbR6Riwkd4fXxd+zckJJ3cpfKoUFaNCR7G9dvshzoTOzmYaG1eRnPwuK3euxNfbl7e2vUWNtYb3lrzHu9nvUla+ji9+HEJ5azmf5H+BSqXFz28yvr4TuwqZYmPvIympp5DZ0xueZk3ZGiyW2QQG+nDllfO7vP+CAum7HOin/IlDIzDwNCZM2I6iqBk5cgVxcU9RWHg1QnRiNncXK/r4jKSlZQ35+ZfhclkOez2bLYfAwFPQaoNobPyamJi7cbmaMZslI85snktZ2cPs2LGY/PzL2bHj1CN+jUeC/z8M/rRpMkzz1Vc9wzdlZZLp8/HHEBgITz8Nn30mmT8waHaP0TiG8PC/YrGsw8cnheHDlzN58m6mT28gIGAuwcFnARxWksY41khbZtugz+sP8QHxA2bWnJF0Bssyl7HHsge1ouargu6CrPyGfEYED4yT7XF5aNvU1hXDHwweP+lxVl+2mmWZy3ALN7uauhVFbR02zE+YWfTh4IW8vij4gsVJi3scGx06mm013ToJTmc5Llfve9/Wthl//9kEB5/J6t2ruXbCtfxS+gsalYaLRl1EclAysZNy+XFHFjF+Mfyw64c+r0FRVKhUPXdOd/x0B7PensU997m54QbYuhU6O6Vf8ve/9y70+hMDg6IoeHnJ3aRK5Y2vr8yHjBz5GWq1oWucwTCMsWPXY7fn9aktNFA4HEXo9UkMGXIDAOHhV5KY+DI+PqkA+PlN2/vvDJqavsViWf+HcvOPyOArinKOoii5iqJ4FEWZcMBzdymKUqwoSoGiKCcf2WUeAnPnSk7++PHw5Zfdx8vKYNEi+OEHiImBO++USeAdOyTV8513ZEVvZye8+67cSx8EKpWGpKTXmDnTSXDw2Wg0Jry9u6UGNBo/pk6tRa0efCGRaZwJa9Yfo/h33cTrKGos4p3t73DZ6MvYULEBAKfLSbmlnISAgcV4q5dV05bZRsDC3v1jD4VwUzizYmex4uwVnJl8JsXNcpchhGDRh4uI9oseNIfe1mEjfXc6CxMX9qDMjgkb08Pg5+Wdz9vpJ/eSmrBYNqDWpWDrsGHtsDIrdhZppWmMDZee+/iI8WzpWE759MXMjVyCxWmh0d7IoeD2uPFSexFnjuPnnCwWXp5L4ORv2bIFLrkEYmPhxx/lj8DTT0vuwe8B+0HskBAweTIsXHjIr8lxBT+/mUyevKdPFpLRmILJNLFHwVZfsFqzqa/vm1TgdJah08UQEXEd48dvRaPxZciQa7tCZSqVN7NnC6Kjb2fq1BqMxjFYLPL71ZeTcaxxpB5+DnAmsGb/g4qijED2rx0JLABeVhTl4OLkR4LEROndX3klvP46VFdLI56dDeedJz+hV14pjb6XF3zzjaR7Ll8upZY/+0x2Ln/rLbDZ5PkHgUrl3W/sU6sNxu22Djp56zPaB2v2H2PwAw2B3Dn9TgAuGX0J6/esRwhB8kvJdHo6u1Q6+4PwCNqr26l8oZJhrwzDd+KhpYn7w7z4edww8QZ2NcmE+MqdK2lxtrDur+sobCwcsMpoZnUm096cxgmRJ+Cjho0bI7qE8/Y3+Jt3f4ql9TfabRtZX97t6a3PvYuMwoc465sX+ankJ6L9okkKTMIt3MyIllWpF6dezHObniW5+XbGWu7rFSqqaK0gu7Z35rWitYIQnxBOjl1Ek/lHNrd9Rsu4e8jPl81gHnxQqoZ8/DE8+SRERfXmHRwLjB4tfaEDIQR8+CE0Nsoo6RH20f5doShKn2KK+6DTxeF0Hrw/RWnpveTmnokQkhjS0dFAY+M3eDzttLdX4O0dhaIomEwHF5tTFBX+/nNoaUlDCMGmTXG0tx/c1vQFl8tCY+M3gz4PjtDgCyHyhRAFfTy1GPhICNEuhCgFioFJR7LWgLBkCWRlyR+As86C6GgpxhYcLD/N27fD1VdLPv/XX8vdwJ13wgUXyONPPy2/beeee9iXILeU4XR0VPU4npt7Lps3p9DS0nchhmGYAecuJx7XMVLkOgQWJi7ES+3F9Ojp2DvtFDcVs7tlN7eccMshz63/pJ6NERtxWVz4zei7QfxgkBSURG59LnPemcPN39/MbVNuI8QnBI1KQ62t9tATAD8U/8D22u0sGb6E1taNCOGhvPxpNm1KJMqrkaKmIj7L+4w31pzDmiYzQ30UynffR0PDKhobv8dW/wq7O+OJDj6JFbkriPGLIcQnBF9vX6ZHTwfg5IST2XLVFm4adT8bfjUzOnQ0WdVZXdfw9IanGf1qz/CR1QqnXVqClzWOMPs8vEf+SFFTIU3eWaz8pYKAAPlxBbk5FUIa+zff7M1JOJpoaZGprbV9fDw3b4brr4dHHpHq5R/+cYoFRx16fTw1NctpaUnvd8y+UFBt7fvU1n5AVtY0Cguvp6joRjQac58V+/3BbJYG3+VqprOzoUvXSAg39fWf09l58B2i221n69aJlJU9MuA198exiuEPAcr3e1yx99ixhU4HV1whwzsaDfzjH5K//8ILMHs2GI2SjvnZZ2A2y29UUxNUVsIrr8hdwVNPyR+GnMPX1/b2jqC9XRp8qzWH6uo3aW7+iZiYpeTlncvmzcldsrX7oDao8Qrzwrm725XzdHgourEIx66jJ7/QHwxaA+33tKNRaYgzx5Felk5qSCrPnPzMIc/d17bRPN98VFgfEaYIhpiGsLFiIy3OFhYPlzH44UHD+1UDPRCt7a38ffLfuXLMRdTWvk9g4Cm0tKThcBRTVf4w75/5Pud+eg7zQuHN4kY8vpfi785g584rKC65mx+bYgiPfoAFCQv4LP8zYvxiUBSFFWevYFrUtK51xkeM5+R5Gn7+GRYnncGb297Es9cTrGyrJMo3is/zP+8aX1gIudVFVOYO5f7LZuE0Z5BVk4W/OpxvsjcwaT+3SKWCG2+E4cOlwf3ooyO+tf1iX75gYx+1SGlpcNll0g+aNQs2bDh21/F7Q6+Pw+Vqori427Gpqnqd0tIHuh7b7UXExz/Drl23U1v7PkOHPsKYMaupqXkHnS5mUOv5+k7FZtuB1Sodg306/qWl97Nr1x1s3z73oLvYiornMRrHMm7c4b0JhzT4iqL8rChKTh9/iw917h+CRx+VLsjnn8M558hj550nJZdB7pX3l2cwm+UxlUqGhR5/XHr5t97ae+4BwssrAqezFI/HRUZGKgUFV2A0jt1b4SjfsObm3pw7fZKePY/twdUm6aLlT5XT8FUDeRfmHTX5hYEgzhzH6t2rifIbGDvHvtNO4KJAwm706VMQ7HBwzohzuGTUJey5ZU9XJe648HFkVmcy/935fF/8PfaO/oPOVdYqUkJSaGz4lNbW34iOvpPOzoa9IlsFnDH8DG4ZdzY6rQ/DwueycMKb3FUQTYf3BKzWLF7Ny2ZixERmxsykw91BtJ8UMzs54eReIa6hQ+XHK9Q2F7Wi5o3MN/B+2Ju00jRumXwL3xR1b7937wbzrPfQlC7kjpuNzI6fRl59HtOCT4WAIub1VL3mvvu6P8Zbtgz+Ptrt9Knj/8QTctcA8OKLMnw0c6bMHbQe0BBr9WopZwUwapRMjbUMTuT1uIWPzyji4p5Are7emdbXf9wliSCEwOEoJCzsL0ybVsuoUd8QEnI2en0sQ4Zch14/uJaXarWekJDz2bXrdoAuD99iSScpaRmdnU1Yrf0zyOrqPupKEB8ONIcaIISYe6gxfaAS2N9aRO491iceeOCBrv/Pnj2b2bNnH8aSe3EkjTSGD5d/LpcM7+zcKR8PEmFhl1FUdAN6fTx6vSxpNxploi8k5BxUKm+qql7tdZ4uSkf169U0/dBEwr8TaPy6kaTXkyh7sIzqN6uJuCqCzs4WKiufJzb24Bo4R4I4cxwf7PiARcMGxoqx77QT+2AszohVFBfcRFDQ4i4O9OFACDdLZy7F5XH1YBpNiJjAt0Xf8lPJT/xU8hMrp5uYOPxJhgz5W685qtqqiDBFYLN9T0TENfj5TUOrDcbPbzoNDavo7Gzk9vELaW5W8/3s91ApKh4+8XFu/OF8rk+OI/v6n4gzxwFQeEMhwT791xGA5A388ovCvJHzuP7b6+n0dNLoaGRx/Pn888e7cXlcvJn1Js/mfUmnoYxXb1nC3DlQy5NMfmMNM+Im803gGk45pffc06bJgvLNvXuS94tbbpGb3JoaeP99GZsvK5Ob4JNOkiKzZrPc+N57L6SmyiZyH38sfwDu3q9eLztbprxAqplMmQLvvScTuHFxA7+m4xGKohAcfBZVVa8A4HJZsVjWodHIJkAtLelotYF99taNi3sKt3vwebfIyFvYsiUFf/8TaWz8hsrKV7Fat2M0jiUk5ALq6z/BZBrT67wff/yIjz4qIirqJxTlMOWrhRBH/AesBibs93gksB3wBoYCJYC6n3PFcYm//12Ie+897NNzcy8U69eHi7y8i0VV1RuiuXlt13M2206RlobYtetO4fF4uo67O9zC4/KIpl+bRLohXaSRJlx2l7BssogNURuE2+kWtbUrRFqaWrhc1iN6eQfDK1teETyAeHTNo4cc2/B1g1jjt0a017aL/Py/iLQ0RFoaor299qDnud3twuNx9TjmdFaJ7OzTxKZNI0VLy0bR2PiDcDjKRUdHkxBCiNy6XBH3XJxI+TfC8C+5ztq1/r3m8Xg8YsRLI8SO2h1i27a5oqHhWyGEEFu3ThalpQ+KjIyJoqVlvcjNvVCUl7/Q49zS5tIe78lA8emnQsyfL8TK/JVCeUAR725/V5gfN4uvvxaCW2JEZmW2CHkqRJjujRWXP7mi1/nppWtE0lNT+p3f5RLC31+I6mohBnJ5kZFCgBAGgxBnninE0KFCpKQIERYmxC+/CGE0ChEYKMSNNwpx003d56WlCTFmjBB79gjxn/8I8cUXQuj1Qrjd3WOWLZNzn3SSECtXCrFt2yBu1HEIt7tdrF7tJdzuTlFf/6XIypot1qwxiurqt8XatYGivv6ro75mWhoiO3uxsNkKRFqaItLSpB1sbl4ttmwZ3+c59fVfie3bF3Q93ms7B2Wrj5SWuURRlApgCvCNoig/7LXgucAKIA/4HrheHE8KQgPB7NmQMTiRrf0RF/coHR3VmEwTCA//K/7+07ue0+mkW1Re/gzV1W90aW2otCoUtYJ5jpkRH40g4YUE1Ho1vpN80cXoyD0nl8L/fgK4aW09jP098ge+pSW9i3HQF+bFybjCwfj3QnjY8tNsdj74C+FfbEETpNDSkkZi4osAWCz96BsBDkcpv/02lK1bT+hRldzc/CONjV9jt+dSV/cROTmL+e23KHJylgCyZ26ttZY7ktRkX/wEdpeCxjuB6uo3e8w/ftl48urzCDeGdzX+APDzm4XJNAmDYQT19Z/R3PwToaEX9zg31j/2sPIQ8+fLQilt+Uk8u+BZLki5gFXnryItDWhI4pnVy0gKTGJaxi7OGHZOr/OTgoZR7ynoN36rVsO8eZKEFhfXs47wQLhc8vm335YtIy6/XCZ+16yBf/1L5gVCQ6UO4RdfwD33dJ87fboMAUVHy6jmGWfI9fbfOJ9zjqwV2LJFSlXdfnv/15KfD98PXmLqd4VK5YVWG0xHRxVNTd8TEHAKPj4pFBb+jdTUrwkKOu2or5mc/B6xsfdjMAxj4sS8rsI8X98pOBxFfSrvOp270OkGF0LqhcH+QhztP45XDz8/X4j4eCE2bBiYS9UH3G5nL+9zH6qq3hL19au6POJDoeyJMpFGmljz8XCx7sMxIjNzpnA4dnc9X7uiVnQ0dxx0jpaW9SIjY5JYvdpbFBffPqDX4PG4xcaN8cLhKOs5V/MGkZaG2PBLokhLQ5SWPiQ2bowXHo9HlJY+JIqL7+hzvpqaD8XGjUNFScm9YuvWKXu9+DJRXv6c2LbtZFFa+oAoK3tCpKUhdu68WhQUXNvD45nz1lTx86+IjIxJ4v0fAsQHGQ+JdetChMNZJ1ocLcLj8QjlAUWM/+94UVn5uti8eXQvj72y8lWxerVGFBbePKB7MFC8+64Q8+b1PDZunBD6M28UPIAYc/NDIjZWiLq63ud6PB4R8lSIKLeU9zv/Rx8JoVIJodEIccklQjz7rPS8KyuF+Pzz7nE5OUIkJOw/txCtrfL/jY1CaLXSe/d4hOjs7L1OSYncTURGCpGaKsTixX1fz+rVcidgMgmRlyfEli29x9x8sxALF/b7ko4bZGXNFg0N34nNm0cLi2WT6OhoEA7Hnj/kWrZtO1nU1a3sdbyw8AaxZ89/uh7ze3v4/18jLk5m2KZOlXH8zMxDnnIgJF+/7/KD8PDLCQw8jdDQSwH6VdQTez2+oDOC8JvphxJei/u+OzB5TWZr2jxK7pd6ICX/LMGSfvAS8ZaWNDweO6NGfdfFEmpry6Szs/8MnMNRjNO5i23vX8fuh3fvnWcNZRvfAaBdVURo6MXs3n0fYWGXoCgKfn5Tqap6hbq6j3vNV129DJ0uhqio2zGZJmC1bmPbtlm0tv6GSqUlLOwKQkMvRa32Iz7+SeLiHsNu34kQHlyuNmZHRKMgq2CNxnFc+PV9bG3145O1J3DGx2dQ1VZFoCGQLVdtobb2HeLjn+jlsfv5TUcIFwEBR6Ee8IMPoLQULBbOOksWS5XtfSubmyUr59S4M8EWTEjT6WRkdNMu94eiKIwLH8fWqq2s29P37ujcc+XHcNkyWSf473/LJOopp8Df/tbd3jkrS7Z97p67m7MQECBzATfeKI9r+sjiDR0q2cyjR8sdQn9prFmzZI3AkiWy5nHWLLmL2B8//ijvwfEOP78ZWCxrcDp3odcnotUGHpS/fyzh7z+jl46+EAK7vWDQSeID8afB7w9eXrJQ6+KLISiob4LyEUJRVCQnv0Nw8LnU1r7f63m320lGxijZBWmYgdRfEvEIJ5qOWKqmnEpniZ6Gtk9wO9w4dzuxFx68ZNvpLCMi4jr8/WfS0VFLR0cd+fmXUFPzdr/ntLVtxWgcjzNgI7vf/47cHRexbdssmpTlmMWFgEJc3JMkJ79PdPRdAPj7n0h09N00Nn7XYy6Px0VbWwYjRnyCRuOLj08qe/Y8iVYbzIgRH5Ca+hU6XSTe3mHMmN6MRu2LptaKx+Ng586/sHXreGYZN9PpLYu6JyY/hU6jo9AzBzOlFNVncE/aPUyIkM9brdkYjb2LYQyGZIKDz8Xff9ZB79chsWuXLI2Ni4Nbb0WvlyUdb70lmcCffiqrUx//22xeiavj81dGExjY/3TjwsbxWf5nzHhrBnW23qR7RZFG+C9/keKw110nFcOzs2VDuG+/lUSzzMyeBv9AjBkjQ0QHw4wZ8toffFAyhQ6GF1+UHIc77pDlLe3tcNddkvNQVQXl5ZLxfDzD338W9fWfoCjaPhO0v++1zKGhYRUtLWvJy7sIIQS5uWfR3PzTEbeePCRL538ac+bIL/SOHUfEyz8UYmLuZceOU/Dzm9ZlhOz2YrZsGYkQLhoaVuHjM5L29nK8vSMxjDHR+GUjrDgTx9lf4Ci+CQTYCw5t8IOCzkBR1Pj7z2b37oew2/Nobv6ZqKi+C6ys1kyCg5dgrXoG1V8/pb7xV3SOiRi+X0ro3TYcpZvw9g4nNLS7nZyiKJjN86ir+xiPp6OrG5PNloO39xC8vKS4nNE4CperkdjYd2RtREuLrKMASRN56y3w9yfhjHiqz5KCWD5evkxOXYVG449abcCx1IEQgnVbMnl13imkV1Vz24zLsdvzUav1Xboq+0NRVD06QB023n1XWt3Q0C5py6uukp6uxSIZLS+8IOWc4gfgmE2JmsJTH0ut/ohnIrh18q08Nb9v7X5FgZtvlq0inn1WGvC77urm0w+i1XOfWLp04GNNJnkb1q+XX5fQUMlufvddye4pK5OboGEDb+T1u8PXdyoORzE63dA/+lLw9Z2C0TiKHTtOxeNxEhJyLg5HMdOnt6HRHFmzoD89/IPh9dfltzc5WWafjhGMxhRiYu6lvLy7EYXFsg6TaRzJye91lVFLgx+F7yRfIq6JYMTfL0fE59K8ZQ+aAA2OgoMXaO3T/QCIi3uc+vpPiY5eisWytku21eWydom/dXY27vXwx0H+cDwTf0VpCEOTM4OA+PH4+88hJuaePtfy8RmJzbadzZuHd4Wl7PZ8DIaRXWNMpklMnJhLYOCpUkNg6VLpHoJ0W2trYfFiIv9bz5jg9xiVuIoJEzLw9o7oIYSlKAoRgSeR4qfh6gQ9DSXns2XLyC5q3TFDXp4M+V15pSzWE4LRo2WS8scfpXjrVVcNfLoTh56IRqUh2BCMW7h5OeNlWttb+x2v08lwy6uvSq89N1dWwkI3jfL3xOTJckN8++0y/FRZKXcaI0YMjlL6R0Ct1gP06Iv7R0FRFJKT3yc29n50ujhKSu4iPPyKIzb2wJ9J2wGhslKIoCAhHA4hpkyRHLmjjPb2erFmja/weCT/TSZonhZud7tYvz5MWK25oqrqdZGff7nwuDzC3SnHrX15llh/6f2i8KZCke6TLvKvyO9zfqezSqSn60VnZ1uv57ZsGS+am9cIIYTIyTlbVFcvFy6XXaSn60V6ul5YqyrEmuEfi4qKl0TOVWtFmvd3onlt8yFfU2npA2L9+iHCYpHZvJKS+8WuXUt7D9yzR97fceNkJlAImTEsKpL/v/ZaySE8++x+12ppWS/WrQsWW7aMF2lpiN27HxF2e8khr/GIMHp0d6YyJESI8v4TrgPF7T/cLrZWbRUdrg4x+pXRIqMyY0DnrV0rqZIrVgjhdB7xZRw2PB75FfnlFyESE4VYvlyIVauEGN830/C4Ql3dZ6Kq6s0/+jJ6IC/vYpGWhnA6q3o9x59J22OE8HDQ62X17saN3Tr7RxFeXkFotYE0Nn6FEB5aW7dgNI5HpfIiNPRS6uo+wm4vQKeLQ1ErqDTyrQuLO4eOpF+JucegPh0AACAASURBVDeGabXTaNqaT9ZLd7Jjxxls2BBJRcULAOTlnYe//+w+vYSAgHk0N/8EyIYObW2bsdly8XgcaLVBeKp90XkPZciQ60h6ajLBp0dhGntoRdDY2PuJjLyJwsKraWr6CYejoEdv1S5s3y6zfqmpMihdWytF7PbFQf75T5md/PFHGSvpA35+U4mMvBmrdSvjxv1GTMzd6PVHeXuemysD00VFMkNaXNxdtT16tLy+BQtk/OIw8dT8pxgXPg6tWktiYOKAG8HsS6wmJ4P34de8HTEURXYcPfFEWfC+ZIlUOsnLk2/p8Yzg4DMJD//LH30ZPZCY+BLTp1vw9h54E6KD4U+DPxAoiiRaP/mkfFzQl17ckUOrDSQn5wy2bz8Jl6sRX9/JgNTht9t30tT0Q4+uPQDRc85FPX0b2kA1NncmnuevprX1N/xVi4iPf5rq6jcA2Wg5KenNXmsCBAWdRU3N27jdNhyOYtrasrDZtqPXDyMoaAmOEge6WCkQpfHTMHLFSNQ+AxM/jYq6gyFDbiIv71za2rL6Nvh5eVIAPjFRGtEdO6QB3ceuiYmRMfLx4/sWe9mLkJALURSvLi3yo4a8PEk/ufRSaVFTUiQR3WCQ3dZAxlSuu05Kcb/77lFZdljAsAEb/KAgufwh4+TXXitJ9gfTQj5C7OPsjx8v5atUKin5fAS/g/+z0Gh80WgOX332QPxp8AeKs86SnigcM4OfmPgKo0f/QmDgIlJSvuxS4dPrE7BY1tPeXoGv7wk9zvHyCkbrFYLdXkBFxbPEDr2PkLxXUK1dQHDwWTidpdjthQjhwsurn76yvhP4f+2deXxMZxfHf08ispBIIgkREYnYQmLfaWPft/b1VimlqxfVTVtKCdXadUFpqaWqWkuVKq2lYgmJPUIEEbKKCBKSyDrn/ePMZCYySWYyk0zI8/185mPmzr3Pfea6Ofd5znPO79jatseZMy0hRFWkp4fi3r19qFPnLTRs+A3SzqehesvS+Q+FEHB1HYfq1VsCoHyJCQAcuvHf//II3seHVUyvX+cF8mbNCjfm7l6sdLW1tSc6drxVwL9vFGbO5LWcuDh2ym/YAKxZU9BR3qIFrz+sWcML0EbAx9kHpxJ0d36vXMnBZcVy6BDrLQQHG9Y5PfHyUtcdkpgOafB1pX9/YO5cYPJkntaXAXZ2beHg0APu7h+gWrWm+dutrRsiOzsBjo59tMb129m1x4MHh3D//l64uPwX9j3tkXosFWZmFnBw6I3IyHdhY9Ok2AxSH59foVBkQqFIh7v7R8jMvAln55cAAGnn0nRy4RSHp+d8NG36M8zMNITHgoLUYSV+fjzCv3SJH6zNmxduxNW1xFoFxpr6FuDSJV59TEpijeD+/Tl1ddgw9T4dOvCQ9tVXeZbyyPDiFsObDsfZhLM4FW+kFc+EBBa1nzgRCNG9kHs+RWQB64KXF18u1SRZV3JySi5Md/iwrA6mM/o6/Y39wtOwaKvJoUNEXbuW+2mPH3ei27c3av3u9u1NFBhYha5e/R8REaWeSqXTLXkx8fHjaDp8GHT58qgSz5GTk0rp6dcKbnuYQ8edjtPj6McG/gItfPkl0fvv82I4d4AFWszMiIKDC+//9ddEkycbvx/FkZJCVK0a0bffEjk6qrOup07VnjJLRNSxo3rx2UB2hO8g50XOtCVsi+GN/fwz0fDhnLIL8PXUlY8/Jpo0Sf1ZzwXqd9/lU1pbE2Vk6H7cli28Hp5WhHRUeDiRlRXRkCF6deeZAKVYtJUGX1+SkzmXXFNNqhyIj/+BcnJSivw+IyMqX8Yh51EOBVoE0t0/7hIRkUKRS3l5xcsuEBE9CHxA195hg591N4suDr5I554/RxFvRhjhF2hh8GAOK9EkN5fo7l3t+//2G9GLL5ZNX4pi3z5+wEdGFjR4xTF5MtG8eWo9AwM5cusIuS9zpzxFKe652FjWXVAoiF57jWj5cqJHj1gDYvRo3do4dYqoVi22vNevs+wIwBoMOhIfT3TyJEs1nDnD70vi3j3WMKxalWj+/ILfbd1K1LYtkZcXP0zs7YkSE3XuzjOBNPjlhRB86cogPNNYHMZhOozDlHFT9+FU7DexdMTmCOWm51LEGxF0tuNZCu0fmh8CanRcXYlu3tR9/6NHiTp3Lpu+FMXrrxMtWaLfMaGhPEsx4r3t+50vHbl1RP8D+/Xjfty4QVS/PtHly7z99GkOK9UFf3+i9etZDnTvXo6zBHiWoyejRnF0LVD8JCEjg6hxY95v4UKO2lVF6T54wGqfW7awCui1a9zmhg16d+eppjQGX/rwS4NqsS4hofj9TEiDZQ1g38MeYQPCcOOTgqtlj849QvKuwmp8WfFZUGQocP+f+0g5moJGaxrBb69ffgio0Rg2jJVI09M5AkdXdPDhG4W//mJBGoWCy2C++KJ+x/v58cK+lRX7zPWBCNi6VZ2ApmSU7yj8EvaLfm09fMjrJK1bs6P78WOOMgJ4kfzatZI1DxQKlsV84QW+/omJvEZRp07JznUtNGzIkhMNGvD6cVFs26YOL/3Pf3j5bNgwjoY9cIClH0aO5IXghg1Zm3/PHr27U+mQBr80nD7NGZYVOM7M/X13NN3UFJ5feCJ+eTxy07iKliJbgSujryBhTeGHVVZ8Fmzb2yJxXSKy4rNg08TI0S4AC9Lt2gV89RXH3esjRVyPq04ZKwpGKwoFK4utWMGLtTVqcEyhvnh780KvvpIcoaFcoe3tt9XbHj/Gy81fxvbw7chTcBb0W3++heUhy4tva9cuLmPl68syFd27q6+3jQ33sU0b4Jtvim4jOpoV1+zsgNq1eZBz/ToH2sfGFn1cEYwfD+zcyYFZBw4Uvd/Bg7y2fOoUi7lNmMAPADs7vnUGKRWLVT9nyBB+gJTHeOBpRhr80iAE34UV2OADgGUdSzgPd4Z1I2tkRGQgKyEL196+BsojZCdkF9o/OyEbbpPdcG/PPdg0tjH+yB5gkZfq1Vll0lfPePmqVVmkZcMG/nz3Lhefnz3boAiSAuzfzxE4Bw6wBenRo/Rt+fqywb95U/fR8P79PJretYtH+ampgI0NPC7FwtbSFjce8Gxt7bm1mPL3lGKlF/DDDyz74OHBI/2eBXM4MGIE5zwEBhbdxuXLPBsAeIQ/cyZrOXTvXqoERA8PHqn36sVGPbnwRBNE/F2vXkC7dvznJgQ/58eMYdWNUaMKHlOzJk/ENAus793L7WgjNJTrBlQ2pMEvLU+BwVdRrWk1RH0UhQvdL4DyCD6/+uQXHtckKz4Ltm1t0eZcGzTZoH9pR50ICuL6ezVqAFOm6H9827bsbsnLYwOWns4B6M2asftk2DBOKjp9Wv1g0JW8PGDePI4drFmTZSLHjtW/jyqaN2dj6uWlFoUrjtxctljjx/Pv+ftvdUHaTz5By9otcSHxAhSkgI2FDfo06INNoZzkRUQYsW0EMnMzef/kZLaMAwcCbm68beDAgud77TXO1LIrJrHn4EF1iGzt2urjRo7kKitZhe8jXfD05IRqZ2f+t0MH9UQjPJy9YU8KztWvz1Gxv/0G2NsXbtPPr+BzdetW9shpY+DAfL27SoWhFa8WCyEihBAXhRA7hRD2Gt9NF0JECiGuCiGMIDxewfDyKl7om4iny5sLyx6XN+Y1zJESmALPzz3RZGMTVG9RHbkPcqHIVle9IiJkxWfB0s0Stq1sUd3XCEJN2jhzhl0WKSlqf7I+eHqyKleVKkC1alxctUYNFrebM4dHxhs3ApMm8QhXVxISuNyTlRUbs4MH2Vp06aJ/H1U0b84lpfz81EPKqVNZpkMbGzdyodmBA9mfsXQpP9zeeAO4dg3+Cg9cSLyAuIdxqGFVAzO6zcCK0ytAREhKT8L28O2ISI7g86xfz7/HwkLtCnN9IkfBzY39I0kFpZgVpEDk/UgknDuCtI1r1CWtVAZ/1ix2Cbm68v9FKfn1V77c8+bxssDPP/N21eheGzVrFn5uqahXr+CkIzJSXZtAxS+/sEcqPr50qQhPPfqu8mq+APQBUEX5fiGAhcr3PihY0/YGnraatiWRkEDk4EB0p4jarf/+yyEGuobylSEZURl0/9D9AttO1D1Bj2+pY+vTwtPohPuJsunAvXtEy5apY9q1lVnSBw8Prjd8X/mbjh4lWrSIr3fXrlzI1cuLQzt0ZcMGLs1kTOWxpCTu0yefcETMsWNENWrwNm0xhP36qcNUc3K4uGzt2kTff080YQKFfzCWev3Ui/Zd30c9N/YkhUJBvt/50r9R/9LRW0cJAaDNFzcT7djB51i6VN12UVXbTp9m0ToNfg79mSzmWtCn/2tMOxuDktOT+YvLl7ldVVvPP0+0f79Bl2jSJG5y8WIOrVQoiNq351q6+nLuHId9qqJ5XFz4EmpSpw7RhAlElpZEAwca1HWTg/KO0iGi/USk8oQFA6irfD8UwK9ElEVENwFEAmhvyLkqHK6uvFKkchru3w98/736+xs3WOAkMtI0/dPA2tMaDuunFPDVVnWriqwE9XT83l/3UHNgMdU5DOH0ada3V42YtZVZ0oebNzlsw0Epf9ytGxdgrVOHReHffZdHuFlZxRd/1eTqVdb3NabymLMz4OLCi7d9+rDPwsmJF1KfXMzNyGDVsX79+HOVKny9ZswARo8GRo9Go9+PwObwcRy4cQCd6naCEAL9vfvjZNxJXL3Hch/hd8N5VvDxx3wdVBS1OO7iwj4VDVYcW4q1ZsPRI6sOMhq44/Ctw/yFjw/PzFRttWypdjmVEtUk7913eb180SIgLQ0YPFj/turV4yWJ3r05QOnePfUIPzubb4eEBJ50jx0LnDihW2GW2Fj2kNWvz318mjGmD/81AKoSR24ANJfw45Tbni0GDmSxrEuX+I/y00/VgiG3b/O8NDy8/PuluotVK2IZGezQ1BD1svKwQubNzPzP9/feh+MAx7Lpz61bvBA6fjxX1DYUbcarShWepw8YAHz5JRvVRo14/q4LERFAYy3CboYyZw6vNfTty/GInTuzq+eXXwquGt64wVpBthoSFu7uLOVRrRrQuTPMx43Huh25SPp+Gfo06ANs3gyfmk2QFBYCsfMPtKzdEpeSLrHvvl27kstaAWzwk5LYv7JmDW4+uIm6F6IwduZW9HxcGzVadEBQTJB6f5VYHMAPslKU/tRk4kQ28BYWbJSnTePFWbNSWCZH5e176xYv2Pr58W2n8h7u2sXfP3rEXjIvL15SKo7Tp/lB0r8/Pzxu3dK/XxWKkqYAAA4CuKTlNVRjnxkAdgIQys8rALyi8f2PAP5TRPs0e/bs/Nfhw4fLdh5kTO7fJ7Kz41T6lSuJ3nyTU/CJeN747bfswkgpOkO2SBISiGbO1G3fqVOJunfn95cvEzk7c3alyn3y999ckN3JiSgriyg9naLev0BRMzlTMic1h45WP0q5aWWUSPbJJzxvd3MrX7H2V14hWru25P1iYjiD58KFsutLdja7ZhIT2V9RpUrByuM7dxINGlRiM6f/XkcZVuaUffECEUDX1i2hh1VBBNCuiF1UZ2kdUnh4EF27RnfS7tDuiN35Rdz3XttLO6/spBMxJygpTUMWws6O/2+qVaNfNn5E30zvwf9fAB3/bQn1/qm39s5cvEjUqJEBF6UgrVoZrpzxzjtEPj7c/VWrOBv39df5c/fuXGbBy4sT5WfN4luzOMaP5z9l5eWgnYVri5cbhw8fLmArYYpMWwDjAJwEYKOxbTqA6Rqf/wHQqYjjy/IalT2ffcaOwpwc9iMPGsR32pAh/AfdqRORtodYXh7RkSNsbLSxZAnnlGdmcl56QuECCPm0bcv/lenpfIfWrMnHApz12acPP5C6d2ef8PPP0x3vNyhseBgRESXtTKILvcvQ2L30ElfCKMqPXFZ8+y0bVj+/4vcbOZKoWze1pk95sGABW6esLP68eDHRe+/pdmzXrkQffkgEkMLSko67g3ItqpAiJ4eazKpJeXYs/fHO3nfIfoE9+az0oYi7EWQ9z5oG/TKIOqzpQC6LXej6PaWze/BgIm9vos8+oz0DGtLJz8bnW7ibyZHkttRNez9yc/leM0LhFyLjqZVs2EA0Zgz/dx49yoVYJk7kn/TSS+oE+T//5D+NolD9vJgYXq5o145ozhy9FCXKlHI3+AD6AQgH4PzE9mYouGgbhWdt0VaFQqEetaoWy1TVm4KD+Y/6jTeInnuONUxUTJ/Of2QODkQjRvDDQrPNNm14ZSkggNvs1Yu/mz278ILfoEG8z9ChRB068B0ZHMztBgTwiD87m4XfOnYkAuiR8KKjNocoa+g4ujHhLN2cc7PsrlGHDkRBQWXXflGEhKiHZsXRqhXrxZQnJ09yv0aM4M8TJrDOjS6oxGOmTiWKiaHgqGOkqFePKDKS5nzUgaLbNqKUxylUY34NarKiCVnPs6bBvwwml8Uu+U1MOzCNPtr/EX9Q3cNhYRTlVIXufvIOaxaFhVGeIo+qfVGNUh4XMUsdOVK3WZSJycriNfkff1Rvi45miaCiCAkhataM3ysUvD6tWnPPLlmaqswxhcGPBPvqLyhfqzW+mwGOzrkKoH8xbZTtVSlPzp9XGxiA76iNG1lXxdZW7TJQKNjdkpDAqlA2NqzEqIr4Wb2aozqGDuV23N3V031nZ6Lt2wuet1MnHrl36FBQVnDZMp7DDhig3hYfT1S3LuWNepWCzTbRRYtFdF4so+Ru+uuiaCUrq2AUTlISG6cHJZdENDpZWRy2oYqUychgETRNbRzV/0V59y83l4eiDg5EcXE8w/jnH92O3byZf9OePept/foRbdxI9wf3pi+6gep9VY8cFzrShdsX6N+ofwkBoE5rO+Xvvu/6PvLf4F+g2QsxpymjCkgxfnyBh0/bH9rSydgi1M42bybq3581dp40/FlZRCtWlP/MTkcUiuJF1+bOZfE2TWbP5kuvigQyJSZx6Rj6eqYMfmoqX9IlS4jGjWPDl55OdOIEG91du3i/xESeKxLxvPPUKaIXXmADcOgQG+nQUFbmvHuXHxTNmvEMAWA3kqZwm7u7dhGy8HDef8YTdWRzc4l++40yUIuCHA/TsRpHKMu2Hp/PEBQK/p2NG/MMIy2NVSNff92wdg2lbl2+DlOm8IwLYBVMIn4AurgUf3xZMnYsWxF7e911g3NzC/9f/fwz/65Bgyjp0ilCAKjtD22JiEihUFDNhTVp9A61Oubd9LtkN98uX4EzLSuNnBc50/36tdkHsm2buos7x9Las0WM4tPT+aHVujU/dDTZto37dP68br/LBBQXWdqli/ZncK9e6tvHlJTG4MtMW2NiZ8ehd++9x2GBVapwgkqnTpxTrooRu3FDnUZoZcURFQMGcATLpEkcWujnx1kmTk4cThAVpQ4R2L4dqFWLy+7l5bGgVZ06hfvTtCkXO9WszARw9EaPHrByyIGCzGHlZYOqAzqxYpVCwUIneXnafyMpxb20xbOFhHAy2v/+xyGOs2YBq1aVLqPWmDRqxMlUoaHA8uUcJaMKiwwPL5voHF3p148jeQYPLjoh60nMzfne0GT0aBZI27ULTj5t4WjtCC8HLwBcdaxj3Y5o4KBOXXWycULt6rVxJuEMriZfRc1FNdHZvTMcWnXiyCZVkhUAHycfXL57GTfu31AN0vAo6xGSM5L5/p4xg6/tlSv5x2wJ24Kbyz/n++/XX0t5ccqeFi34dj57tuD2u3c52Klbt8LHeHurE8UmTOCon6ck6V6O8MuNBQt4oU3lux05suD3Dx6wH3/OHO066io3UePGHHEzejQv0JbkiIyOLjrRKSuLLvS9QHEr43gFq0sXTsQBiC5d0n7MDz+wPPQXXxT+bvVq9Wj+yBFeg/D3L7xfeXPkCLtNUlLYTTZnjnqu/t57/NlUJCfz6L64RflS0HVdV5p2YFr+56CYIIq4W7CuwdzAuTThzwm08tRKarW6FcWmxnJRGiurAjOIP6/+SQgAIQB0LPoYERGN+X0MIQCUkZ3BM7v4eK5ukpxMvb9qTQgA3XIw48gkLQWDvj75NXX+sTNtvbS10HflyY8/8u3+ZBLWRx/xsoo2lizhiWKvXkRNmvACsQlqIkmXToVmyxZeCFMtwvbtq9/xqjuzaVP+HB/PhmLpUt0LWWgh+0E2KXIVvArl5MRFMoCCq1uaDBnCRsHFpfCD5N131f7xrCxem9AMPawobNpE9PLLbKjq1SMKCzN1j4zO3MC5tPNK8TGEUfejyGWxC728/WX68VwR/99ElPAwgVyXuNLI7SNp5amVtP78eqq1uBZV/bwqbb+ssZ7k60vUujX95WNB+z55kTKrCHZJVq9ewAUZnRJNNRfWpB3hO8h+gT3FP4w3+PeWljNnOKDNzk69ELt7N98WRQUfnT/PS2mOjvyMc3bmn2ikejc6Iw1+RSY6mhdW3dzYQIeE6N/G+fNEZ8+qP3ftyv+FqrUBQ5k4kReYR48meust7fs0a8ZrCq1bEx08WPC73r158U5FeHi5VwbTiQMHOET1zBn2V1fQRcXyoOG3Dcl6njVdTb5a4r7fBH9DHdZ0IPM55oQA0Lwj8+idve+od9ixg3K9G+TPRiOcBOcAeHlxlSwlP577kUZu5xnuqztfpXlH5uXnCpREyuMUOnjjYMk76ohCwX9SnTuzzENeHgc/PVlh60kGDuQxUZs2PBvo2ZMrR27axHEB5YE0+BWd8HCOxrh3zzjtBQYSffON8YxqZCTfscHB2qshKRQ8an/4kGcqmlkreXnsWrp1yzh9KUsuXeK5+PTpJWfePON8+M+H9ObuN3Xa91DUIUIAaMP5DRSbGkvBscHkt6pgjsPJ2JMU61SVqEYN2tvUgu6k3SF64QVK27iWtoRtodWnV1OtxbXyZxSn4k5RrcW16OfQn0s8f/zDeJobOJeqf1mdHjw2blTVgwcc5PbRR+z1e7Ly5pOonk8nT7L3a88eLigG8ET3yBGje+kKIQ2+xDhkZrJhf7Jy9O3bPH8l4miiDh3Uvt7Dh3UvmWdq7t3jUMw6dThbtBKTm5er8+j6YeZD+vTgp/mRPZk5mWT5uSVl5qizp9efX0/zAnoShYTQWx80ouDYYIqYMIICnkf+OsCq06soO1cdyL727Fp6efvLBfrUdEXTArH/CoWC2v3QjhAAcl/mTitCVhj60wuRlMTjAKDgRFoXFAqOwJ40iUf9Dg6659GVltIYfBmlIymMpSVHsvz+e0HR8MhIlicGWMA8JIQFwgAOdXj55fLva2lwcGAd/SZN9C/C8oxhbmYOoWPVMVtLW3zR8wuYCTYbllUs4engiWv31DLh52+fh2XvfkD79sh5rgtOJ5zGL3kX4HMXqF61Or7t9y3eavMWLMwt8o/p6dUTh24eQlp2Gib9NQlhSWG4knwFwXHB+fscjzmO1KxUfNnjS8ztPhf7o/Yb6QqocXZmqX+gsBZ/SQjBgmwBARzx06cP6yqmpRm9mwYhDb5EO2++yXfw2LFqicCdO9UVoKpVY7nB6tX5oRAYyDKFTwNCsJziP/+YuidPPc2cm+Hy3cv5n8/cPoM2rm0AAP28++Gv63/hH8tYPJfhjOc9nsc7Hd7Jf2CoqG9fHzWta2Lor0Px3Znv8ks3nog9kb/PtvBtGOM3BtO7TceAhgNw5NYR5OQVDA1WkELlNSg1fZWVOzQ14vTByYlDNH/9lcswqkoJVBSkwZdo5403WDLY0RH47jvOAfjpp4KVmzp14nyBnj05BrtFC5N1V29sbQ2XaZagmXMzhN0JAwDkKfIQmhiK1q6c99Hbqzf+jvwbkc7mcM6tit+C6vDsUYvG8AtNX8Cp+FOY3G4y1l1Yh451OyI4Xj3C3311N4Y1GQYAcKnmglaurbDl0pYCbUw/OB2LTyw26Pf4+ZW6iFc+qhLIc+YUnbJiKqTBlxRNo0acODV3LicGffABZ51o8vvvXP919mzd5HglzxT9vPthW/g2EBEuJV1CXbu6qGHFw2MHawd0r98d1rYOMAs5hWpRsayBHBenbkBZdXxSu0nY57sI05u8gWldpmF+z/m4eOciACApPQkpmSlo5tws/7CZ3WZiYdBCEBEUxA+QHVd2YMOFDQb/pqpVDW4CABcU8/TkevQrVxqnTUORQxxJ8XTpwnVi16/ntMIncXFh3f+iatJJnmk61u2IquZVERQbhLA7Yejs3rnA9/vH7EdGTgZgaQfs28fFz69fZ5H5x485Q3zFCrhOmADXKYuBxo0xf+9eEIDHOY+RnJGMsDth8KvlV2CtoYdnD+Qp8hAUG4Q/Iv5AwqMEpOekIzsvG5eT2MU0ed9k/Dv23+LXKM6c4dleGWVbr1rFVSQ/+YS1/3VcLikzpMGXlMxLL3H+uKrClESiRAiBF5u+iF0Ru5CYnojnPZ4v8H0Vsyqws9Qokt6oEctv9OzJBWuE4NlhVhY7wK9fB4KDIVavRssuPriUdAkX71yEXy2/Qucd7Tsaf0T8gd1Xd+P6/ev4qu9XiEmNwbbwbbCztEPgrUCYzTVDxKQINHZ6wqDfu8frU2fO8Kxj+HCuvtKokVGvT/v2XOvGzY3VUbQtBmdnG29WURLSpSMpmZ491aUcJZInGNx4MP689idOxJ4oNMIvRMOGXKU8MpJdO9268crmhx/y63//A+bPB376Cd3z6iHsThhOJ5xGq9qtCjXlX98f6y+sR0pmCq5MuoIpHaZghM8IbAvfhmMxx/L7svTkUiw7uQzZedlcS9HbG1ixgvWUgoI44mz9+jLT/BGCF4NbtixcAO/771mCKyKCK3IZun5QIvrGcRr7BRmHL5E81eQp8sh1iSvZL7DPj9Evkhs3WBm2enUuFDRqFMtwzJnD2gahoUTm5kQA/bXoTXrtj9fIcaEj6/w8QWZOJiEANOvfWQX6UndZXbL90pYSHibQxgsbCQEg50XOdCDkV5YpX7CAg+2XLeODTp7kjKt27Yx5pEB1aQAAE3hJREFUWQqgUPDpXnyx4PZOnTidZdw4lqjSR9YJpYjDV5UkNBlCCDJ1HyQSiWG89edbiHsYh72j9+p2QIcOrPjp6wssXKjenpXFIb95eYia9jYaWH2PVrVb4dzb2mvnRt6PhJeDV4FQzzmBcwAAs/1nIzkjGStOrUCeIg++By7iv+HgQIN+/Vg5tUkTPignh9ejwsMBV9fSXIISiY7mwLaEBNaemDaNi7aHhrKgbZMmwP37ak9XSQghQER6rQpIl45EIjGYqZ2n4rPnPtP9gHbteBG3bt2C2y0teQHV2RluCZy1NKGtlmABJd6O3oXi+mf7z8bsdlOBzZvhZOmAgPiGeG/mHtTdd5x9K+bmHFmmMvYAV1Hv2xf46y/+nJwMfKbH79GBevX4eZaYyC6cRYt4u58fK4h/8gmrTYeFGfW0BTBohC+E+BzAUAAKAEkAxhFRguBl8W8ADACQodyu9REtR/gSSSXkt9+4RkFwMI/2NRk/no3yjRv4btEIvN7qdVhWsdSv/eXLua6EszOP3E+dAgBknzuDqq3aaD9mzRpOIGzThh8If//NFtqIK6q9enF08+XLnOYSEFDwmTd5Mj8YPv645LZMMcJfTER+RNQSwB4As5Tb+wNoqHy9BWCVgeeRSCTPEi+9BOTmFjb2APDjj2wVb9/GxHYT9Tf2ALBhA6+CdunCxn7JEjy0MccZx8dFH+PjA/zxBy8et23LUUOqokNGomtXTkzftImVSJ6c4PTtW7YJ4AYZfCJ6qPGxGgDVUH0ogJ+UawvBAOyFEGXjGJNIJE8nRSXqmZmxH12ZlKUT164B337L73NzeQjduTMnDNrbA1Om4Mcv/oP1oRuLll9o2hTIyOAs888/57CaGzf0+00lMHgwsHQpn6Z798Lfd+/Oz6fERGXROVU0k5Ew2IcvhPhCCBELYDTUI3w3cHFzFXHKbRKJRFIy9vYcoJ6ertv+//kPh1zm5QExMezGsbZmC7txI2BhgdFvfouDNw/iVPwp7W04OvJxbZQunwYNOHjeiLRuzR6rrVv5ufYk1auzO6d1a1b+SPtgFoeQGokSE6+EEAcB1Nby1Qwi2kVEMwDMEEJMBzAZwGx9OxEQEJD/3t/fH/7+/vo2IZFIniWEUI/yn5TzeJKcHB7he3jwyP72bXUClY0NMGQIANbg8a/vj9A7oehQV4srCQDGjFFnjTdowCNsIyIEsG5dEV/Onw+8/z4++8wKw4ZxZi5OngDMMgAAgYGBCAwMNOj8JRp8ItI1Z34zgL1ggx8PwF3ju7rKbVrRNPgSiUQCgGUXEhJKNvhRUZzK+txzrOCak8MJXlrwdfHNF3vTypIl6vfNmvHibXmQkgJ8+iknonXtCl9fYEyPeFgfj0XeZSuYo/BgeM6cOXqfxiCXjhBC86oOBRChfL8bwFjBdASQSkR6OOQkEkmlp0oV4PnnWcq6OK5e5VDOVq2ACxeA48f5vRZ8XXwRlqRj3KOfHwfJlwdnz/K/p0/zv8uX4+U/X8ZveAmKm7fYvWUEDPXhLxBCXBJCXATQB8C7yu17AUQBiASwBsBEA88jkUgqG8uXs0vm6tXi97t6lV04vr4cVrl/P0cBaaGdWzuE3gnF7Uc6jD/d3Hi2kJjIC8FlyalTvH5w9Cjw4AEQEADbjCS4rpiBBCsvowXnGxql8yIRNVeGZg4monjldiKiSUTUgIh8ieiMUXorkUgqD76+vOh67ZoyZAWcohoTw/pOqpBJ1Qjf15ffv/hikRVM7K3sMar5KKw5twZ5ijxk5mYWfX4hOKyzQwdeyL1/37i/T5Pjx4FZs/i39unD8ZsREWg4tBn2KfqC9v1tlNPITFuJRFJxadSIVS2trVmee9MmXpwNCVFLMqgMvpMTC9Brk/HWoJ93PwTFBuH13a9j1uFZxe6LX37hEM0mTTjapyzIyWGD/9JLwDffsIKnsvSWmxtw2LI/Hm7dh8Dh3yDjpIEuJn3Fd4z9ghRPk0gkRbFqFQudRUYSeXgQubkRLV1KdOwYUb16vI+zM1FcHL/PzCyyKRW3H90m63nWZDbHjAZuHqhbP/76i6hLl9L9hpLYv5+oRQt+n51NVKcO/14le397SGmwIQIow8KWTv92g0ihkOJpEonkGePRI+D8eY7ACQ3lRc3x49nd4uDAI/vTp7lsoh7VRTy+9kB/7/7YdXUX+jboiw3DNhR/QFYWULs2cPEiyzuPH2/Y71KhUPAC84wZwH//y9tycljbR3O3Jj64m26N3XGt8RrWwXzpYogPP9RbWkEafIlE8nTi7w8cOcLv9bQh0SnRcLR2hN0CLs6SOi21YKGWJ1CQAmZjXwWSknhRODWVhewN5fffgQUL2EVV3ANr7Fikm9miXfBydK0ThR/Ot4NISZFqmRKJpJLwwgtcmOdxMfo4ReBh7wFbS1vUsa0DAAhNLN433n9zf5wa2o4NM1C4kklpWb2atXtKmp1Mm4ZqM9/Hlt/McPKud8m5CUUgDb5EInk6mTKFFTetrErdxNROUzG8yXCcTzxf5D5EhJC4EOxyuMOJYGPGsLB9UJB6px07WHfn0SPdT37vHj9ABg0qeV8fH8DbGx4eHJxEg4fofh4NpMGXSCSVlvc7vY9BjQYhJD6kyH2iU6ORmpWKk3EnsfHaNtxRSh1g9271TjNmsPLZc8+xX744kpM5+icwkMM+q1XTub/29pyPdn/iTJ2P0UQafIlEUqnpWq8rjsccz/+85MQSfPDPB9h6eSsA4Pzt8+js3hmhd0Ix9cBUdHLfD1q2jJOkAB71X78OxMZyjkBJ+sbLl3Oo6fvvsyKnnrRpA3w+Ty/XfT4laulIJBLJs0xDx4Z4nPMYMakxsLO0w5fHvkRKZgoIhM7unbH05FKMazEOnd07IyUzBUN+HYK7rwyHy2efAWlpvHA8YABr6FetypW8+vfXfjIi1ur/6CNgwQIkernAIuMeatrU1Lm/b74JjB5dut8qDb5EIqnUCCHQ06sn1p1fBycbJ/jV8oNLNRdEJEdg1I5RyM7LxmutXoO5Gev3e9TwQExOMlxatOCELAsL4L33WJ75zBku3zh4MNC7d+GTRUQgD4RN/g4YtwCYFLsa7kdv4et+X+vc3xEjWObHx0f/3ypdOhKJpNIzuNFgzDkyB+/sewdt67TF1hFbsWn4JtSqXgtrh6zNN/YAUK9GPcSkxrC/PiGBV1FVKpatWvFI/+23tZ/o8GHcaFkPiyI34IsJzRBolYjfr/xedFEWLZiZca2W0iANvkQiqfQMajQIH3f+GNWrVkcbVy6A0qJ2C2wbsQ1+tfwK7OtRwwPRKdHIfvUVpKz7DjGjB7GOD8BVvE6cAO7eZRG0J/n3XxxrYIGJ7Sbi4xXncXHSZeRRHqJTo5GdZxxFzOKQBl8ikVR67CztsLD3Qvw07Cf0b1iE/11JvRr1EJ0ajZmxG+EYPREeDffgRspN9Q4WFkDHjqyPo4lCgccH/8YsEYiOdTvCwtwCbnZu8LT3RHRKNBp82wCJaYll8OvUSIMvkUgkSoY3HQ57K/ti92lbpy3+uv4X1p5bi5A3QvCK3yvwXeWLiOQI9U5t2rA2vwah+zchoWomXun3MVrUapG/3cPeA8FxwYh7GIcb941bQ/dJpMGXSCQSPejm0Q3Zedl4tcWraOfWDlPaT8Hj3Mc4GHVQvZOfH/D998Dbb0NxIgiZ772DUz/MRlbP7ljYeyEszNVaOfVr1MfeyL0AwGsDZYiM0pFIJBI9MBNm+PPlP+Fp7wmAi6os7LUQNx9ouHV8fYH4eGDfPkQlXIb3niAMsq8Cl+1rC7XnYe+BL49/CYCTvMq078ZoRAjxoRCChBBOys9CCPGtECJSCHFRCNHaGOeRSCSSioBfLT/YWtrmf27g0AA3Hmi4Yxo3Zt3+2Fh47wnCn42Bqs18Yf68f6G2vB1ZF6dbvW6ITqngBl8I4Q4ub6g5F+kPoKHy9RaAVYaeRyKRSCoqXg5eiHoQpd5QtSroJo/4k2paI3fn76h5/BzrIjxB9/rdkfxRMqZ2nvpUjPC/AvAxAM1A0qEAflLq9wcDsBdCuBrhXBKJRFLhUBn8jBzW2UnPTkedZXXw8PDfGDjJvlBopyZCCNS0qQlvR29cv3+9TPtpkMEXQgwFEE9ET2qLugGI1fgcp9wmkUgkzxw1rGpgaJOh+SUTj8UcQ2JaIt5MXofM2jXh6eBZYhsNHRsi7mEcHufoL/esKyUu2gohDgKoreWrGQA+BbtzDCIgICD/vb+/P/xVWWsSiUTylPBV36/QdGVTvNvhXey/sR+O1o7YenkrQt4IgZkoeWxtYW4Bb0dvXEm+gtauhZc9AwMDERgYaFAfS13xSgjhC+AQAKVWKOoCSADQHsAcAIFEtEW571UA/kR0W0s7suKVRCJ5Jnhz95vwcvDCV8FfYc+oPVCQAh3rdtT5+JHbR6Jvg74Y36rkEopCiPKreEVEYUTkQkT1iag+2G3TmogSAewGMFYZrdMRQKo2Yy+RSCTPEp3cO2H+8fno7N4Z7d3a62XsAWC072jMOzYPmbmZZdK/skq82gsgCkAkgDUAJpbReSQSiaTC0N6tPR5lP8K4luNKdfzgxoNR07omQuKKLshiCEZLvFKO8lXvCcAkY7UtkUgkTwNNnZpibIux6O9dvB5PcXSt1xVBsUFwruaMpk5NIUqqd6sHUlpBIpFIjIS5mTk2DtsIyyqWpW6ji3sX/BHxB1qubolT8aeM2Dtp8CUSiaRC0c+7H+49voccRQ6CYoNKPkAPpMGXSCSSCkS1qtVwcMxBLO2ztJDBf5j1EGnZaaVuWxp8iUQiqWB4OnhiaOOh+S6dtOw0pGen49NDn+Ynd5UGqZYpkUgkFRBPB088zHqI5IxkjN81HpeSLiFPkYcaVjWw8PjCUrUpR/gSiURSATETZmhZuyV+OPsDwu6EYXiT4XiU/QhxD+NwJPpI6do0ch8lEolEYiQ6uHXAF8e+wNtt3sa8HvOwe+RutHZtXbDYih5Igy+RSCQVlJnPzcSQxkMwruU42FjYoJtHNzR3bo4cRU6p2pM+fIlEIqmg2FnaYcuLWwpsa+7SHObCHHnI07s9OcKXSCSSpwjfWr6ob1+/VMeWWi3TWEi1TIlEItEdIkJMagzqO9TXWy1TGnyJRCJ5CilXeWSJRCKRPF1Igy+RSCSVBGnwJRKJpJJgaBHzACFEvBDigvI1QOO76UKISCHEVSFEX8O7KpFIJBJDMMYI/ysiaql87QUAIYQPgJEAmgHoB+A7IYS5Ec71TGNogeJnCXkt1MhroUZeC8MoK5fOUAC/ElEWEd0ElzpsX0bnemaQN7MaeS3UyGuhRl4LwzCGwZ8shLgohFgnhHBQbnMDEKuxT5xym0QikUhMRIkGXwhxUAhxSctrKIBVABoAaAngNoClZdxfiUQikZQSoyVeCSHqA9hDRM2FENMBgIjmK7/7B0AAEZ3UcpzMupJIJJJSoG/ilUHiaUIIVyK6rfw4HMAl5fvdAH4RQiwDUAdAQwBaq/Hq22GJRCKRlA5D1TIXCSFaAiAAtwC8DQBEdFkIsRVAOIBcAJOISH9pN4lEIpEYDZNr6UgkEomkfDBppq0Qop8yMStSCDHNlH0xJUIIdyHEYSFEuBDishDiXVP3yZQIIcyFEOeFEHtM3RdTI4SwF0JsF0JECCGuCCE6mbpPpkII8b7y7+OSEGKLEMLK1H0qL5RRkElCiEsa2xyFEAeEENeV/zoU1wZgQoOvTMRaCaA/AB8ALysTtiojuQA+JCIfAB0BTKrE1wIA3gVwxdSdqCB8A+BvImoCoAUq6XURQrgBmAKgLRE1B2AOTu6sLGwAJ7FqMg3AISJqCOCQ8nOxmHKE3x5AJBFFEVE2gF/BCVuVDiK6TUTnlO8fgf+oK2XeghCiLoCBANaaui+mRghRA8BzAH4EACLKJqIU0/bKpFQBYC2EqALABkCCiftTbhDRUQD3n9g8FMBG5fuNAIaV1I4pDb5MztKCMry1FYAQ0/bEZHwN4GMAClN3pALgCeAugPVKF9daIUQ1U3fKFBBRPIAlAGLAOT+pRLTftL0yObU0oiQTAdQq6QCpllmBEEJUB7ADwHtE9NDU/SlvhBCDACQR0VlT96WCUAVAawCriKgVgHToMG1/FlH6p4eCH4J1AFQTQrxi2l5VHJRVpEqMwDGlwY8H4K7xua5yW6VECGEBNvabieh3U/fHRHQBMEQIcQvs4ushhPjZtF0yKXEA4ohINdvbDn4AVEZ6AbhJRHeJKAfA7wA6m7hPpuaOEMIV4JwoAEklHWBKg38aQEMhhKcQoip4AWa3CftjMoQQAuynvUJEy0zdH1NBRNOJqC4R1QffD/8SUaUdxRFRIoBYIURj5aae4NyWykgMgI5CCBvl30tPVNIFbA12A3hV+f5VALtKOsDQxKtSQ0S5QojJAP4Br7ivI6LLpuqPiekCYAyAMCHEBeW2T1Vy05JKzTsANisHRVEAxpu4PyaBiEKEENsBnANHtZ0H8INpe1V+CCG2APAH4CSEiAMwG8ACAFuFEK8DiAbw3xLbkYlXEolEUjmQi7YSiURSSZAGXyKRSCoJ0uBLJBJJJUEafIlEIqkkSIMvkUgklQRp8CUSiaSSIA2+RCKRVBKkwZdIJJJKwv8BFtmAeQQan+gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用默认样式绘制图表\n",
    "plt.plot(x, y)\n",
    "plt.legend('ABCDEF', ncol=2, loc='upper left');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Although the result contains all the information we'd like it to convey, it does so in a way that is not all that aesthetically pleasing, and even looks a bit old-fashioned in the context of 21st-century data visualization.\n",
    "\n",
    "虽然结果包含了所有我们希望涵盖的信息，但是它展现的形式并不是特别的美观，和21世纪的数据可视化效果比较起来甚至显得有一点老土。\n",
    "\n",
    "> Now let's take a look at how it works with Seaborn.\n",
    "As we will see, Seaborn has many of its own high-level plotting routines, but it can also overwrite Matplotlib's default parameters and in turn get even simple Matplotlib scripts to produce vastly superior output.\n",
    "We can set the style by calling Seaborn's ``set()`` method.\n",
    "By convention, Seaborn is imported as ``sns``:\n",
    "\n",
    "现在让我们看一看Seaborn的结果。正如我们看到的，Seaborn有很多的自己的高层绘图函数，但是它也覆盖了Matplotlib默认参数并且能使用更简单的Matplotlib代码脚本产生复杂的输出结果。我们可以通过调用Seaborn的`set()`函数设置Seaborn的样式。按照惯例Seaborn被载入成别名`sns`："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "sns.set()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Now let's rerun the same two lines as before:\n",
    "\n",
    "现在我们来产生同样的折线图："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 所有的代码与上例中的代码一样\n",
    "plt.plot(x, y)\n",
    "plt.legend('ABCDEF', ncol=2, loc='upper left');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Ah, much better!\n",
    "\n",
    "嗯，好看多了。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploring Seaborn Plots\n",
    "\n",
    "## 探索 Seaborn 图表\n",
    "\n",
    "> The main idea of Seaborn is that it provides high-level commands to create a variety of plot types useful for statistical data exploration, and even some statistical model fitting.\n",
    "\n",
    "Seaborn的主要设计思想是提供一套高层的接口来创建各种各样的统计数据报表，甚至与一些统计模型适应。\n",
    "\n",
    "> Let's take a look at a few of the datasets and plot types available in Seaborn. Note that all of the following *could* be done using raw Matplotlib commands (this is, in fact, what Seaborn does under the hood) but the Seaborn API is much more convenient.\n",
    "\n",
    "下面让我们看看Seaborn中一些数据集和图表类型。请注意所有下面介绍到的内容*都可以*通过Matplotlib（实际上是Seaborn的底层）实现，但是Seaborn的API用起来方便多了。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Histograms, KDE, and densities\n",
    "\n",
    "### 直方图、KDE 和 密度\n",
    "\n",
    "> Often in statistical data visualization, all you want is to plot histograms and joint distributions of variables.\n",
    "We have seen that this is relatively straightforward in Matplotlib:\n",
    "\n",
    "通常在统计数据可视化当中，绘制直方图和变量的联合分布可能就是你全部的需求。我们已经在Matplotlib中相对直接的展示过这种技巧：\n",
    "\n",
    "译者注：下面代码将normed参数改为density。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = np.random.multivariate_normal([0, 0], [[5, 2], [2, 2]], size=2000)\n",
    "data = pd.DataFrame(data, columns=['x', 'y'])\n",
    "\n",
    "for col in 'xy':\n",
    "    plt.hist(data[col], density=True, alpha=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Rather than a histogram, we can get a smooth estimate of the distribution using a kernel density estimation, which Seaborn does with ``sns.kdeplot``:\n",
    "\n",
    "相对于直方图，我们可以使用核密度估计（KDE）来获得一个平滑的估计图，在Seaborn中调用`sns.kdeplot`得到："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for col in 'xy':\n",
    "    sns.kdeplot(data[col], shade=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Histograms and KDE can be combined using ``distplot``:\n",
    "\n",
    "直方图和KDE可以使用`distplot`组合输出："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data['x'])\n",
    "sns.distplot(data['y']);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> If we pass the full two-dimensional dataset to ``kdeplot``, we will get a two-dimensional visualization of the data:\n",
    "\n",
    "如果我们将完整的二维数据集传递给`kdeplot`，我们会得到数据的二维可视化图：\n",
    "\n",
    "译者注：新版Seaborn的`kdeplot`函数不再支持传递二维数据，需要拆分成两个参数，因此下面的代码改为两个参数的调用方式。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(data.x, data.y);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We can see the joint distribution and the marginal distributions together using ``sns.jointplot``.\n",
    "For this plot, we'll set the style to a white background:\n",
    "\n",
    "我们可以使用`sns.jointplot`函数同时绘制联合分布和边缘分布。下例中，我们将图表背景改为白色："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style('white'):\n",
    "    sns.jointplot(\"x\", \"y\", data, kind='kde');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> There are other parameters that can be passed to ``jointplot``—for example, we can use a hexagonally based histogram instead:\n",
    "\n",
    "我们还可以传递其他的参数到`jointplot`，例如，使用六边形联合分布和直方图："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style('white'):\n",
    "    sns.jointplot(\"x\", \"y\", data, kind='hex')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pair plots\n",
    "\n",
    "### 散点图矩阵\n",
    "\n",
    "> When you generalize joint plots to datasets of larger dimensions, you end up with *pair plots*. This is very useful for exploring correlations between multidimensional data, when you'd like to plot all pairs of values against each other.\n",
    "\n",
    "当你将联合分布图推广到更多的维度时，你就会获得*散点图矩阵*。当你希望将所有属性两两组成一对来分析多维数据时是非常有用的。\n",
    "\n",
    "> We'll demo this with the well-known Iris dataset, which lists measurements of petals and sepals of three iris species:\n",
    "\n",
    "我们使用著名的鸢尾花数据集来展示散点图矩阵，里面列出了三种不同种鸢尾花的花瓣和花萼的测量值："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.1          3.5           1.4          0.2  setosa\n",
       "1           4.9          3.0           1.4          0.2  setosa\n",
       "2           4.7          3.2           1.3          0.2  setosa\n",
       "3           4.6          3.1           1.5          0.2  setosa\n",
       "4           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris = sns.load_dataset(\"iris\")\n",
    "iris.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Visualizing the multidimensional relationships among the samples is as easy as calling ``sns.pairplot``:\n",
    "\n",
    "传递样本数据集调用`sns.pairplot`函数可以很容易的展示多维数据的关系：\n",
    "\n",
    "译者注：下面代码中的size已经过时，修改为height。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 813.85x720 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(iris, hue='species', height=2.5);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Faceted histograms\n",
    "\n",
    "### 多面直方图\n",
    "\n",
    "> Sometimes the best way to view data is via histograms of subsets. Seaborn's ``FacetGrid`` makes this extremely simple.\n",
    "We'll take a look at some data that shows the amount that restaurant staff receive in tips based on various indicator data:\n",
    "\n",
    "有些情况下展示数据的最好方式通过子数据集的直方图。Seaborn的`FacetGrid`将它变得非常简单。我们首先查看一些餐厅工作人员获得小费的数据情况，这是通过不同的指标数据获得的数据集：\n",
    "\n",
    "译者注：下面代码将直接从data目录中读取tips.csv文件，因为Seaborn已经无法从网上下载tips数据集。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   total_bill   tip     sex smoker  day    time  size\n",
       "0       16.99  1.01  Female     No  Sun  Dinner     2\n",
       "1       10.34  1.66    Male     No  Sun  Dinner     3\n",
       "2       21.01  3.50    Male     No  Sun  Dinner     3\n",
       "3       23.68  3.31    Male     No  Sun  Dinner     2\n",
       "4       24.59  3.61  Female     No  Sun  Dinner     4"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "tips = pd.read_csv('data/tips.csv')\n",
    "tips.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tips['tip_pct'] = 100 * tips['tip'] / tips['total_bill']\n",
    "\n",
    "grid = sns.FacetGrid(tips, row=\"sex\", col=\"time\", margin_titles=True)\n",
    "grid.map(plt.hist, \"tip_pct\", bins=np.linspace(0, 40, 15));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Factor plots\n",
    "\n",
    "### 因子图\n",
    "\n",
    "> Factor plots can be useful for this kind of visualization as well. This allows you to view the distribution of a parameter within bins defined by any other parameter:\n",
    "\n",
    "因子图也可以很好的展现这个数据。它允许你将一个参数的分布按照另一个参数进行分桶再展示在图表中：\n",
    "\n",
    "译者注：`factorplot`函数已过时，下面代码更新为了`catplot`函数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 439.725x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style(style='ticks'):\n",
    "    g = sns.catplot(\"day\", \"total_bill\", \"sex\", data=tips, kind=\"box\")\n",
    "    g.set_axis_labels(\"Day\", \"Total Bill\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Joint distributions\n",
    "\n",
    "### 联合分布\n",
    "\n",
    "> Similar to the pairplot we saw earlier, we can use ``sns.jointplot`` to show the joint distribution between different datasets, along with the associated marginal distributions:\n",
    "\n",
    "类似前面的散点图矩阵，我们可以使用`sns.jointplot`来展示不同数据集中间的联合分布，以及它们的边缘分布情况："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style('white'):\n",
    "    sns.jointplot(\"total_bill\", \"tip\", data=tips, kind='hex')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> The joint plot can even do some automatic kernel density estimation and regression:\n",
    "\n",
    "联合分布图还可以自动进行核密度估计以及回归："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(\"total_bill\", \"tip\", data=tips, kind='reg');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bar plots\n",
    "\n",
    "### 柱状图\n",
    "\n",
    "> Time series can be plotted using ``sns.factorplot``. In the following example, we'll use the Planets data that we first saw in [Aggregation and Grouping](03.08-Aggregation-and-Grouping.ipynb):\n",
    "\n",
    "时间序列可以使用`sns.factorplot`进行图表绘制。在下例中，我们会使用在[聚合与分组](03.08-Aggregation-and-Grouping.ipynb)中使用过的行星数据：\n",
    "\n",
    "译者注：同样，下面的`factorplot`因为过时被`catplot`取代。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>method</th>\n",
       "      <th>number</th>\n",
       "      <th>orbital_period</th>\n",
       "      <th>mass</th>\n",
       "      <th>distance</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Radial Velocity</td>\n",
       "      <td>1</td>\n",
       "      <td>269.300</td>\n",
       "      <td>7.10</td>\n",
       "      <td>77.40</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Radial Velocity</td>\n",
       "      <td>1</td>\n",
       "      <td>874.774</td>\n",
       "      <td>2.21</td>\n",
       "      <td>56.95</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Radial Velocity</td>\n",
       "      <td>1</td>\n",
       "      <td>763.000</td>\n",
       "      <td>2.60</td>\n",
       "      <td>19.84</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Radial Velocity</td>\n",
       "      <td>1</td>\n",
       "      <td>326.030</td>\n",
       "      <td>19.40</td>\n",
       "      <td>110.62</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Radial Velocity</td>\n",
       "      <td>1</td>\n",
       "      <td>516.220</td>\n",
       "      <td>10.50</td>\n",
       "      <td>119.47</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            method  number  orbital_period   mass  distance  year\n",
       "0  Radial Velocity       1         269.300   7.10     77.40  2006\n",
       "1  Radial Velocity       1         874.774   2.21     56.95  2008\n",
       "2  Radial Velocity       1         763.000   2.60     19.84  2011\n",
       "3  Radial Velocity       1         326.030  19.40    110.62  2007\n",
       "4  Radial Velocity       1         516.220  10.50    119.47  2009"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "planets = sns.load_dataset('planets')\n",
    "planets.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style('white'):\n",
    "    g = sns.catplot(\"year\", data=planets, aspect=2,\n",
    "                       kind=\"count\", color='steelblue')\n",
    "    g.set_xticklabels(step=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We can learn more by looking at the *method* of discovery of each of these planets:\n",
    "\n",
    "我们还可以使用发现这些行星的方法来更加细致的分析这个数据集："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1644.47x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style('white'):\n",
    "    g = sns.catplot(\"year\", data=planets, aspect=4.0, kind='count',\n",
    "                       hue='method', order=range(2001, 2015))\n",
    "    g.set_ylabels('Number of Planets Discovered')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> For more information on plotting with Seaborn, see the [Seaborn documentation](http://seaborn.pydata.org/), a [tutorial](http://seaborn.pydata.org/\n",
    "tutorial.htm), and the [Seaborn gallery](http://seaborn.pydata.org/examples/index.html).\n",
    "\n",
    "想获得更多使用Seaborn绘制图表的内容，请参考[Seaborn在线文档](http://seaborn.pydata.org/)、[教程](http://seaborn.pydata.org/tutorial.htm)以及[Seaborn图库](http://seaborn.pydata.org/examples/index.html)。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example: Exploring Marathon Finishing Times\n",
    "\n",
    "## 例子：马拉松完成时间分析\n",
    "\n",
    "> Here we'll look at using Seaborn to help visualize and understand finishing results from a marathon.\n",
    "I've scraped the data from sources on the Web, aggregated it and removed any identifying information, and put it on GitHub where it can be downloaded\n",
    "(if you are interested in using Python for web scraping, I would recommend [*Web Scraping with Python*](http://shop.oreilly.com/product/0636920034391.do) by Ryan Mitchell).\n",
    "We will start by downloading the data from\n",
    "the Web, and loading it into Pandas:\n",
    "\n",
    "下面我们来看一下使用Seaborn分析和可视化马拉松完成结果数据的例子。作者已经从网上将数据爬取了下来，组合了这些数据并且删除了身份信息，数据放在GitHub上面提供下载（如果你对使用Python进行网页爬取感兴趣，作者推荐Ryan Mitchell写的[*Python网络爬取*](http://shop.oreilly.com/product/0636920034391.do)）。我们首先下载这个数据，然后使用Pandas将数据载入：\n",
    "\n",
    "译者注：本仓库notebooks/data目录下带有数据文件，下面的载入语句目录相应修改。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !curl -O https://raw.githubusercontent.com/jakevdp/marathon-data/master/marathon-data.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>split</th>\n",
       "      <th>final</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>33</td>\n",
       "      <td>M</td>\n",
       "      <td>01:05:38</td>\n",
       "      <td>02:08:51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>32</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:26</td>\n",
       "      <td>02:09:28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>31</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:49</td>\n",
       "      <td>02:10:42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>38</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:16</td>\n",
       "      <td>02:13:45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>31</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:32</td>\n",
       "      <td>02:13:59</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age gender     split     final\n",
       "0   33      M  01:05:38  02:08:51\n",
       "1   32      M  01:06:26  02:09:28\n",
       "2   31      M  01:06:49  02:10:42\n",
       "3   38      M  01:06:16  02:13:45\n",
       "4   31      M  01:06:32  02:13:59"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('data/marathon-data.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> By default, Pandas loaded the time columns as Python strings (type ``object``); we can see this by looking at the ``dtypes`` attribute of the DataFrame:\n",
    "\n",
    "默认情况下，Pandas将时间列读取载入成Python字符串（Pandas中的`object`类型）；我们可以通过查看DataFrame的dtypes属性知道："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age        int64\n",
       "gender    object\n",
       "split     object\n",
       "final     object\n",
       "dtype: object"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Let's fix this by providing a converter for the times:\n",
    "\n",
    "让我们提供一个转换器函数来修正这一列："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>split</th>\n",
       "      <th>final</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>33</td>\n",
       "      <td>M</td>\n",
       "      <td>01:05:38</td>\n",
       "      <td>02:08:51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>32</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:26</td>\n",
       "      <td>02:09:28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>31</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:49</td>\n",
       "      <td>02:10:42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>38</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:16</td>\n",
       "      <td>02:13:45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>31</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:32</td>\n",
       "      <td>02:13:59</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age gender    split    final\n",
       "0   33      M 01:05:38 02:08:51\n",
       "1   32      M 01:06:26 02:09:28\n",
       "2   31      M 01:06:49 02:10:42\n",
       "3   38      M 01:06:16 02:13:45\n",
       "4   31      M 01:06:32 02:13:59"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import datetime\n",
    "\n",
    "def convert_time(s):\n",
    "    h, m, s = map(int, s.split(':'))\n",
    "    return datetime.timedelta(hours=h, minutes=m, seconds=s)\n",
    "\n",
    "data = pd.read_csv('data/marathon-data.csv',\n",
    "                   converters={'split':convert_time, 'final':convert_time})\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age                 int64\n",
       "gender             object\n",
       "split     timedelta64[ns]\n",
       "final     timedelta64[ns]\n",
       "dtype: object"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> That looks much better. For the purpose of our Seaborn plotting utilities, let's next add columns that give the times in seconds:\n",
    "\n",
    "这样看起来就正常了。为了Seaborn绘图工具能正常工作，为这个数据集添加上两列，将时间转为秒数："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>split</th>\n",
       "      <th>final</th>\n",
       "      <th>split_sec</th>\n",
       "      <th>final_sec</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>33</td>\n",
       "      <td>M</td>\n",
       "      <td>01:05:38</td>\n",
       "      <td>02:08:51</td>\n",
       "      <td>3938.0</td>\n",
       "      <td>7731.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>32</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:26</td>\n",
       "      <td>02:09:28</td>\n",
       "      <td>3986.0</td>\n",
       "      <td>7768.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>31</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:49</td>\n",
       "      <td>02:10:42</td>\n",
       "      <td>4009.0</td>\n",
       "      <td>7842.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>38</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:16</td>\n",
       "      <td>02:13:45</td>\n",
       "      <td>3976.0</td>\n",
       "      <td>8025.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>31</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:32</td>\n",
       "      <td>02:13:59</td>\n",
       "      <td>3992.0</td>\n",
       "      <td>8039.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age gender    split    final  split_sec  final_sec\n",
       "0   33      M 01:05:38 02:08:51     3938.0     7731.0\n",
       "1   32      M 01:06:26 02:09:28     3986.0     7768.0\n",
       "2   31      M 01:06:49 02:10:42     4009.0     7842.0\n",
       "3   38      M 01:06:16 02:13:45     3976.0     8025.0\n",
       "4   31      M 01:06:32 02:13:59     3992.0     8039.0"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['split_sec'] = data['split'].astype(int) / 1E9\n",
    "data['final_sec'] = data['final'].astype(int) / 1E9\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> To get an idea of what the data looks like, we can plot a ``jointplot`` over the data:\n",
    "\n",
    "要初步查看目前数据的情况，我们可以在数据集上绘制一个联合分布图："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style('white'):\n",
    "    g = sns.jointplot(\"split_sec\", \"final_sec\", data, kind='hex')\n",
    "    g.ax_joint.plot(np.linspace(4000, 16000),\n",
    "                    np.linspace(8000, 32000), ':k')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> The dotted line shows where someone's time would lie if they ran the marathon at a perfectly steady pace. The fact that the distribution lies above this indicates (as you might expect) that most people slow down over the course of the marathon.\n",
    "If you have run competitively, you'll know that those who do the opposite—run faster during the second half of the race—are said to have \"negative-split\" the race.\n",
    "\n",
    "上图中的点线表示，如果一个人在一场马拉松比赛中保持了一个完美的匀速，那么他的成绩将位于这条线上。事实上这个分布都处于这条线上的原因，也是显而易见的，大多数人随着马拉松的进程都会慢下来。如果你有参加过竞技马拉松比赛，你可能就会了解那些不符合这个趋势的选手，即后半程跑的更快的参赛者，被称为后半程加速。\n",
    "\n",
    "> Let's create another column in the data, the split fraction, which measures the degree to which each runner negative-splits or positive-splits the race:\n",
    "\n",
    "让我们再创建一个列，用来衡量每个选手是后半程加速还是前半程跑的快："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>split</th>\n",
       "      <th>final</th>\n",
       "      <th>split_sec</th>\n",
       "      <th>final_sec</th>\n",
       "      <th>split_frac</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>33</td>\n",
       "      <td>M</td>\n",
       "      <td>01:05:38</td>\n",
       "      <td>02:08:51</td>\n",
       "      <td>3938.0</td>\n",
       "      <td>7731.0</td>\n",
       "      <td>-0.018756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>32</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:26</td>\n",
       "      <td>02:09:28</td>\n",
       "      <td>3986.0</td>\n",
       "      <td>7768.0</td>\n",
       "      <td>-0.026262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>31</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:49</td>\n",
       "      <td>02:10:42</td>\n",
       "      <td>4009.0</td>\n",
       "      <td>7842.0</td>\n",
       "      <td>-0.022443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>38</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:16</td>\n",
       "      <td>02:13:45</td>\n",
       "      <td>3976.0</td>\n",
       "      <td>8025.0</td>\n",
       "      <td>0.009097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>31</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:32</td>\n",
       "      <td>02:13:59</td>\n",
       "      <td>3992.0</td>\n",
       "      <td>8039.0</td>\n",
       "      <td>0.006842</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age gender    split    final  split_sec  final_sec  split_frac\n",
       "0   33      M 01:05:38 02:08:51     3938.0     7731.0   -0.018756\n",
       "1   32      M 01:06:26 02:09:28     3986.0     7768.0   -0.026262\n",
       "2   31      M 01:06:49 02:10:42     4009.0     7842.0   -0.022443\n",
       "3   38      M 01:06:16 02:13:45     3976.0     8025.0    0.009097\n",
       "4   31      M 01:06:32 02:13:59     3992.0     8039.0    0.006842"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['split_frac'] = 1 - 2 * data['split_sec'] / data['final_sec']\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Where this split difference is less than zero, the person negative-split the race by that fraction.\n",
    "Let's do a distribution plot of this split fraction:\n",
    "\n",
    "当`split_frac`列为负数时，该选手是后半程加速。让我们绘制这一列的分布情况："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data['split_frac'], kde=False);\n",
    "plt.axvline(0, color=\"k\", linestyle=\"--\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "251"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(data.split_frac < 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Out of nearly 40,000 participants, there were only 250 people who negative-split their marathon.\n",
    "\n",
    "将近40000名选手中，仅有250人是使用后半程加速完成马拉松比赛的。\n",
    "\n",
    "> Let's see whether there is any correlation between this split fraction and other variables. We'll do this using a ``pairgrid``, which draws plots of all these correlations:\n",
    "\n",
    "让我们观察一下这个半程加速分布列和其他列的相关性。你应该也知道应该使用`pairgrid`绘制散点图矩阵了："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 770.475x720 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.PairGrid(data, vars=['age', 'split_sec', 'final_sec', 'split_frac'],\n",
    "                 hue='gender', palette='RdBu_r')\n",
    "g.map(plt.scatter, alpha=0.8)\n",
    "g.add_legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> It looks like the split fraction does not correlate particularly with age, but does correlate with the final time: faster runners tend to have closer to even splits on their marathon time.\n",
    "(We see here that Seaborn is no panacea for Matplotlib's ills when it comes to plot styles: in particular, the x-axis labels overlap. Because the output is a simple Matplotlib plot, however, the methods in [Customizing Ticks](04.10-Customizing-Ticks.ipynb) can be used to adjust such things if desired.)\n",
    "\n",
    "从上图得知，半程加速分布似乎与年龄没有特别大的相关性，但是确实和最终完成时间有相关性：成绩越好的选手越善于平均分配前后半程的速度和时间。\n",
    "\n",
    "> The difference between men and women here is interesting. Let's look at the histogram of split fractions for these two groups:\n",
    "\n",
    "这里比较有趣的是性别的差异。让我们将这两个组的半程加速分布数据用直方图展示出来："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(data.split_frac[data.gender=='M'], label='men', shade=True)\n",
    "sns.kdeplot(data.split_frac[data.gender=='W'], label='women', shade=True)\n",
    "plt.xlabel('split_frac');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> The interesting thing here is that there are many more men than women who are running close to an even split!\n",
    "This almost looks like some kind of bimodal distribution among the men and women. Let's see if we can suss-out what's going on by looking at the distributions as a function of age.\n",
    "\n",
    "上图中有趣的地方是男性前后半程均匀速度和时间的数量比女性多很多。这几乎有点像一个双峰分布的形状了。让我们试着探寻里面的原因。\n",
    "\n",
    "> A nice way to compare distributions is to use a *violin plot*\n",
    "\n",
    "比较两个分布的好方法是使用*小提琴图*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(\"gender\", \"split_frac\", data=data,\n",
    "               palette=[\"lightblue\", \"lightpink\"]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> This is yet another way to compare the distributions between men and women.\n",
    "\n",
    "这也是一个比较男性和女性分布情况的方式。\n",
    "\n",
    "> Let's look a little deeper, and compare these violin plots as a function of age. We'll start by creating a new column in the array that specifies the decade of age that each person is in:\n",
    "\n",
    "让我们继续深入，根据年龄数据比较这些小提琴图。我们再创建一个列来表示每个选手的年龄段："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>split</th>\n",
       "      <th>final</th>\n",
       "      <th>split_sec</th>\n",
       "      <th>final_sec</th>\n",
       "      <th>split_frac</th>\n",
       "      <th>age_dec</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>33</td>\n",
       "      <td>M</td>\n",
       "      <td>01:05:38</td>\n",
       "      <td>02:08:51</td>\n",
       "      <td>3938.0</td>\n",
       "      <td>7731.0</td>\n",
       "      <td>-0.018756</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>32</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:26</td>\n",
       "      <td>02:09:28</td>\n",
       "      <td>3986.0</td>\n",
       "      <td>7768.0</td>\n",
       "      <td>-0.026262</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>31</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:49</td>\n",
       "      <td>02:10:42</td>\n",
       "      <td>4009.0</td>\n",
       "      <td>7842.0</td>\n",
       "      <td>-0.022443</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>38</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:16</td>\n",
       "      <td>02:13:45</td>\n",
       "      <td>3976.0</td>\n",
       "      <td>8025.0</td>\n",
       "      <td>0.009097</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>31</td>\n",
       "      <td>M</td>\n",
       "      <td>01:06:32</td>\n",
       "      <td>02:13:59</td>\n",
       "      <td>3992.0</td>\n",
       "      <td>8039.0</td>\n",
       "      <td>0.006842</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age gender    split    final  split_sec  final_sec  split_frac  age_dec\n",
       "0   33      M 01:05:38 02:08:51     3938.0     7731.0   -0.018756       30\n",
       "1   32      M 01:06:26 02:09:28     3986.0     7768.0   -0.026262       30\n",
       "2   31      M 01:06:49 02:10:42     4009.0     7842.0   -0.022443       30\n",
       "3   38      M 01:06:16 02:13:45     3976.0     8025.0    0.009097       30\n",
       "4   31      M 01:06:32 02:13:59     3992.0     8039.0    0.006842       30"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['age_dec'] = data.age.map(lambda age: 10 * (age // 10)) # 10-20/20-30 等\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "men = (data.gender == 'M')\n",
    "women = (data.gender == 'W')\n",
    "\n",
    "with sns.axes_style(style=None):\n",
    "    sns.violinplot(\"age_dec\", \"split_frac\", hue=\"gender\", data=data,\n",
    "                   split=True, inner=\"quartile\",\n",
    "                   palette=[\"lightblue\", \"lightpink\"]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Looking at this, we can see where the distributions of men and women differ: the split distributions of men in their 20s to 50s show a pronounced over-density toward lower splits when compared to women of the same age (or of any age, for that matter).\n",
    "\n",
    "再看上图，我们可以发现男性和女性分布情况的区别：男性年龄处于20到50之间的时候，其半程平均程度的分布均比同年龄段女性的分布要更密集。\n",
    "\n",
    "> Also surprisingly, the 80-year-old women seem to outperform *everyone* in terms of their split time. This is probably due to the fact that we're estimating the distribution from small numbers, as there are only a handful of runners in that range:\n",
    "\n",
    "令我们惊讶的是，80岁以上的女性似乎在半程平均程度上优于所有年龄段和性别的分布。这也许是由于这个分布是来自一个很小的数据样本，因为这个年龄段的参加人数是很稀少的："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(data.age > 80).sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Back to the men with negative splits: who are these runners? Does this split fraction correlate with finishing quickly? We can plot this very easily. We'll use ``regplot``, which will automatically fit a linear regression to the data:\n",
    "\n",
    "回到后半程加速的选手身上：它们是谁？是否后半程加速与比赛成绩有相关性？我们可以很容易的绘制这张图。调用`regplot`函数，它能自动的为数据找到一个线性回归预测："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.lmplot('final_sec', 'split_frac', col='gender', data=data,\n",
    "               markers=\".\", scatter_kws=dict(color='c'))\n",
    "g.map(plt.axhline, y=0.1, color=\"k\", ls=\":\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Apparently the people with fast splits are the elite runners who are finishing within ~15,000 seconds, or about 4 hours. People slower than that are much less likely to have a fast second split.\n",
    "\n",
    "很明显了，成绩优秀的选手或者叫精英选手，是那些能在约15000秒或4个小时内完成的人。低于这个成绩的选手很少能在后半程加速完成比赛。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--NAVIGATION-->\n",
    "< [使用Basemap创建地理位置图表](04.13-Geographic-Data-With-Basemap.ipynb) | [目录](Index.ipynb) | [更多资源](04.15-Further-Resources.ipynb) >\n",
    "\n",
    "<a href=\"https://colab.research.google.com/github/wangyingsm/Python-Data-Science-Handbook/blob/master/notebooks/04.14-Visualization-With-Seaborn.ipynb\"><img align=\"left\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\" title=\"Open and Execute in Google Colaboratory\"></a>\n"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
